crawling_data.ipynb

import pandas as pd
import os
import requests
import time
import random

from tqdm import tqdm
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

    "for page_idx in tqdm(range(1, 11)):\n",
    "    main_url = f'https://www.thivien.net/searchpoem.php?PoemType=16&ViewType=1&Country=2&Age[]=3&Page={page_idx}'\n",
    "    driver.get(main_url)\n",
    "\n",
    "    content_tags_xpath = '//*[@class=\"page-content container\"]/div[2]/div/div[@class=\"list-item\"]'\n",
    "    content_tags = driver.find_elements(By.XPATH, content_tags_xpath)\n",
    "    for idx in range(len(content_tags)):\n",
    "        content_tag_xpath = f'/html/body/div[4]/div[2]/div/div[{2+idx}]'\n",
    "        content_title_xpath = f'/html/body/div[4]/div[2]/div/div[{2+idx}]/h4/a'\n",
    "        content_tag = wait.until(EC.presence_of_element_located((By.XPATH, content_tag_xpath)))\n",
    "        poem_title = wait.until(EC.presence_of_element_located((By.XPATH, content_title_xpath))).text\n",
    "        poem_url = wait.until(EC.presence_of_element_located((By.XPATH, content_title_xpath))).get_attribute('href')\n",
    "\n",
    "        try:\n",
    "            driver.get(poem_url)\n",
    "\n",
    "            poem_src_xpath = '//div[@class=\"small\"]'\n",
    "            poem_content_tag = wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'poem-content')))\n",
    "\n",
    "            try:\n",
    "                poem_content_i_tag = poem_content_tag.find_element(By.TAG_NAME, 'i')\n",
    "                driver.execute_script(deletion_script, poem_content_i_tag)\n",
    "            except:\n",
    "                pass\n",
    "\n",
    "            try:\n",
    "                poem_content_b_tag = poem_content_tag.find_element(By.TAG_NAME, 'b')\n",
    "                driver.execute_script(deletion_script, poem_content_b_tag)\n",
    "            except:\n",
    "                pass\n",
    "\n",
    "            poem_content = poem_content_tag.text\n",
    "\n",
    "            try:\n",
    "                poem_src_tag = wait.until(EC.presence_of_element_located((By.XPATH, poem_src_xpath)))\n",
    "                poem_src = poem_src_tag.text\n",
    "            except:\n",
    "                poem_src = ''\n",
    "\n",
    "            poem_info = {\n",
    "                'title': poem_title,\n",
    "                'content': poem_content,\n",
    "                'source': poem_src,\n",
    "                'url': poem_url\n",
    "            }\n",
    "\n",
    "            datasets.append(poem_info)\n",
    "\n",
    "            driver.back()\n",
    "        except Exception as e:\n",
    "            print(e)\n",
    "            print(poem_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 689,
     "status": "ok",
     "timestamp": 1729832841089,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "73vBNqadEh4L",
    "outputId": "18a04dd0-c871-4dc3-8009-2c22cd861213"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'title': '“Bạn xấu như chiếc bóng”',\n",
       "  'content': 'Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\nKhi anh sáng, rực rỡ\\nNhư mặt trời long lanh\\n\\nNhưng họ sẽ biến mất\\nKhi trời phủ mây đen\\nTức là khi anh đói\\nTrong túi không có tiền',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/B%E1%BA%A1n-x%E1%BA%A5u-nh%C6%B0-chi%E1%BA%BFc-b%C3%B3ng/poem-4r1MApTHwgzgxicR8oy7nQ'},\n",
       " {'title': '“Cái làm ta hạnh phúc”',\n",
       "  'content': 'Cái làm ta hạnh phúc\\nThực ra cũng chẳng nhiều\\nChỉ cần có ai đó\\nĐể ta thầm thương yêu\\n\\nRồi thêm chút công việc\\nCho ta làm hàng ngày\\nCuối cùng, chút mơ mộng\\nĐể đưa ta lên mây',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/C%C3%A1i-l%C3%A0m-ta-h%E1%BA%A1nh-ph%C3%BAc/poem-t24-M5Dn2cxmEDVSrQhtCw'},\n",
       " {'title': '“Chiều vừa xốp trên tay”',\n",
       "  'content': 'Chiều vừa xốp trên tay\\nChợt nghe thoáng ong bay\\nCó ai vừa chết nhỉ\\nMây thắt tang trăng gầy\\n\\nỚt đỏ sao cứ đỏ\\nTáo chín cho thật vàng\\nEm đẹp cho thêm đẹp\\nĐể mắt ngừng lang thang',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/L%C3%A2m-Huy-Nhu%E1%BA%ADn/Chi%E1%BB%81u-v%E1%BB%ABa-x%E1%BB%91p-tr%C3%AAn-tay/poem-f31v-s36HNxJNqauIrC7Xw'},\n",
       " {'title': '“Chơi thân không có nghĩa”',\n",
       "  'content': 'Chơi thân không có nghĩa\\nKhông cãi nhau bao giờ\\nKhông làm nhau tức giận\\nHay đôi lúc hững hờ\\n\\nVấn đề là ở chỗ\\nĐã chơi thân với nhau\\nThì phải nên kiềm chế\\nĐừng giận dỗi quá lâu',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Ch%C6%A1i-th%C3%A2n-kh%C3%B4ng-c%C3%B3-ngh%C4%A9a/poem-UHcGs3KT2AX8C0LsaFsT3w'},\n",
       " {'title': '“Có thể buồn chút ít”',\n",
       "  'content': 'Có thể buồn chút ít\\nMột mình, không người yêu\\nNhưng tình yêu bất hạnh\\nThực sự buồn hơn nhiều',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/C%C3%B3-th%E1%BB%83-bu%E1%BB%93n-ch%C3%BAt-%C3%ADt/poem-hW1hoVM5fXDL1q_pi91DAw'},\n",
       " {'title': '“Có thể có ông bố”',\n",
       "  'content': 'Có thể có ông bố\\nKhông yêu con; xưa nay\\nĐã ông là yêu cháu\\nTôi khẳng định điều này',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/C%C3%B3-th%E1%BB%83-c%C3%B3-%C3%B4ng-b%E1%BB%91/poem-07LDSru7njk6vpq-Vn5Hag'},\n",
       " {'title': '“Dưới giàn hoa thiên lý...”',\n",
       "  'content': 'Dưới giàn hoa thiên lý\\nMột mình anh đang ngồi\\nKhông dưng em bước tới\\nAnh bỗng thành song đôi',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Nh%E1%BA%ADt-%C3%81nh/D%C6%B0%E1%BB%9Bi-gi%C3%A0n-hoa-thi%C3%AAn-l%C3%BD/poem-u0YIZsC-pwwY1Khy_e96OQ'},\n",
       " {'title': '“Đàn ông đòi phụ nữ”',\n",
       "  'content': 'Đàn ông đòi phụ nữ\\nDâng hiến hết cho mình\\nĐược rồi, lại ca cẩm\\nChuyện vợ con, gia đình\\n\\nTức là họ chỉ muốn\\nPhần đẹp của hôn nhân\\nVà trút hết cho vợ\\nPhần lo lắng, nhọc nhằn',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/%C4%90%C3%A0n-%C3%B4ng-%C4%91%C3%B2i-ph%E1%BB%A5-n%E1%BB%AF/poem--FB25HAZPRKsei049lfNvQ'},\n",
       " {'title': '“Đến, nhiều nơi để đến”',\n",
       "  'content': 'Đến, nhiều nơi để đến\\nVề, trở lại với mình\\nChỉ duy nhất một chốn\\nChốn ấy là gia đình',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/%C4%90%E1%BA%BFn-nhi%E1%BB%81u-n%C6%A1i-%C4%91%E1%BB%83-%C4%91%E1%BA%BFn/poem-39NZptOCqcWR7beS-TJcOg'},\n",
       " {'title': '“Đừng bao giờ dại dột”',\n",
       "  'content': 'Đừng bao giờ dại dột\\nĐem chuyện riêng của mình\\nTâm sự với người khác\\nĐây, con số chứng minh:\\n\\nHai phần ba trong họ\\nSẽ chẳng thèm quan tâm\\nMột phần ba còn lại\\nNghe xong, lòng vui thầm',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/%C4%90%E1%BB%ABng-bao-gi%E1%BB%9D-d%E1%BA%A1i-d%E1%BB%99t/poem-G6OAEVSjTKCAXXDhIoGKyA'},\n",
       " {'title': '“Hầu hết các đồ vật”',\n",
       "  'content': 'Hầu hết các đồ vật\\nTa muốn đều đắt tiền\\nMột khi không có được\\nTa cảm thấy buồn phiền\\n\\nTrong khi cái thực sự\\nLàm ta vui ở đời\\nHoàn toàn không tốn kém\\nLà tình yêu, tiếng cười',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/H%E1%BA%A7u-h%E1%BA%BFt-c%C3%A1c-%C4%91%E1%BB%93-v%E1%BA%ADt/poem-UgNEBlIDpJW5xfeygCe28g'},\n",
       " {'title': '“Hiện tại anh đang sống”',\n",
       "  'content': 'Hiện tại anh đang sống\\nKhông được để phí hoài\\nVì nỗi buồn quá khứ\\nVà sợ hãi tương lai',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Hi%E1%BB%87n-t%E1%BA%A1i-anh-%C4%91ang-s%E1%BB%91ng/poem-pYUpg8fOuGOnRLk0QFmMWQ'},\n",
       " {'title': '“Khi cô gái im lặng”',\n",
       "  'content': 'Khi cô gái im lặng\\nNăm lý do như sau:\\nMột, nàng đang tức giận\\nHai, nàng đang buồn đau\\n\\nBa, nàng sắp bùng nổ\\nBốn, nàng nghi ngờ mình\\nNăm, và quan trọng nhất\\nNàng chờ bạn tỏ tình',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Khi-c%C3%B4-g%C3%A1i-im-l%E1%BA%B7ng/poem-JGuKQCVpULYCIRVVfQK-2g'},\n",
       " {'title': '“Khi gặp chuyện phiền muộn”',\n",
       "  'content': 'Khi gặp chuyện phiền muộn\\nVà đầu óc nặng nề\\nDạo bộ khoảng mươi phút\\nBạn sẽ thấy ô-kê\\n\\nCác nhà khoa học nói\\nDạo bộ làm gia tăng\\nCác hoá chất trong não\\nGiúp bạn thấy cân bằng',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Khi-g%E1%BA%B7p-chuy%E1%BB%87n-phi%E1%BB%81n-mu%E1%BB%99n/poem-V4wjxdwmRNFxRn2C9S9iyA'},\n",
       " {'title': '“Khi tiếng niệm Di Đà”',\n",
       "  'content': 'Khi tiếng niệm Di Đà\\nVang vọng trong tâm ta\\nRơi đi những phiền não\\nCho Bồ đề nở hoa',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%ADch-Ch%C3%A2n-T%C3%ADnh/Khi-ti%E1%BA%BFng-ni%E1%BB%87m-Di-%C4%90%C3%A0/poem-pDbZtZ1CigVW422eL0CQ2g'},\n",
       " {'title': '“Khoẻ - không phải nhấc mạnh”',\n",
       "  'content': 'Khoẻ - không phải nhấc mạnh\\nMà biết đặt nhẹ nhàng\\nKính - đối với người dưới\\nNhư những người ngang hàng\\n\\nLớn - không ở to tát\\nMà ở điều bình thường\\nĐẹp - không ở khuôn mặt\\nMà trái tim yêu thương\\n\\nTốt - không ở lời nói\\nMà việc làm hàng ngày\\nCuốn sách đẹp, bìa cứng\\nChưa hẳn là sách hay',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Kho%E1%BA%BB-kh%C3%B4ng-ph%E1%BA%A3i-nh%E1%BA%A5c-m%E1%BA%A1nh/poem-AcjlU8CFbBUa5ZwreL_Qpw'},\n",
       " {'title': '“Không thể kiểm tra bạn”',\n",
       "  'content': 'Không thể kiểm tra bạn\\nNhư ta kiểm tra tiền\\nMuốn xem thật hay giả\\nĐem soi trước bóng đèn',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Kh%C3%B4ng-th%E1%BB%83-ki%E1%BB%83m-tra-b%E1%BA%A1n/poem-OrB3lHwvfpxlSwoSsC8pUQ'},\n",
       " {'title': '“Lặng ngồi chốn tĩnh lâu”',\n",
       "  'content': 'Lặng ngồi chốn tĩnh lâu\\nTrăng sáng, gió canh thâu!\\nBát nhã hương lòng nhẹ.\\nLăng Già niệm ý sâu\\nPhật, Tâm chung một vẻ\\nThiền, Tịnh chẳng hai mầu\\nNgưng chuỗi, thầm riêng hỏi\\nHoa đêm điểm điểm đầu...',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%ADch-Thi%E1%BB%81n-T%C3%A2m/L%E1%BA%B7ng-ng%E1%BB%93i-ch%E1%BB%91n-t%C4%A9nh-l%C3%A2u/poem-6510NdSMoamB9S3QMp9AhA'},\n",
       " {'title': '“Lòng tôi là cây khế...”',\n",
       "  'content': 'Lòng tôi là cây khế\\nEm là chim về chơi\\nVàng kia em chẳng trả\\nChỉ nhả hạt xuống thôi\\nHạt rớt xuống thành cây\\nCây cũng toàn cây khế\\nTừ khi em đi rồi\\nVườn tôi thành lặng lẽ\\nBiết bao giờ trở lại\\nCánh chim em ngày nào\\nLòng tôi hoa khế rụng\\nXuống nỗi buồn nôn nao...',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Nh%E1%BA%ADt-%C3%81nh/L%C3%B2ng-t%C3%B4i-l%C3%A0-c%C3%A2y-kh%E1%BA%BF/poem-piaOE_aXABBrdEkka4gaag'},\n",
       " {'title': '“Mẹ vẫn luôn là mẹ”',\n",
       "  'content': 'Me vẫn luôn là mẹ\\nSuốt đời lo cho con\\nCả khi con còn nhỏ\\nCả khi con lớn khôn\\n\\nCả khi con lấy vợ\\nCả khi cháu đầy nhà\\nCả khi nằm chờ chết\\nThế đấy, mẹ chúng ta\\n\\nCòn chúng ta, ích kỷ\\nLuôn dựa vào mẹ mình\\nCả khi ta còn nhỏ\\nCả khi ta trưởng thành\\n\\nCả khi ta lấy vợ\\nCả khi cháu đầy nhà\\nCả khi mẹ sắp chết\\nVâng, thế đấy, chúng ta',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/M%E1%BA%B9-v%E1%BA%ABn-lu%C3%B4n-l%C3%A0-m%E1%BA%B9/poem-txtUESBDZd17qIOjd8zXag'},\n",
       " {'title': '“Mong bạn hoài nghi tôi”',\n",
       "  'content': 'Mong bạn hoài nghi tôi\\nCho tôi tin cậy bạn\\nNhững lời đang vỗ cánh\\nChưa chắc là đã bay!',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-V%C5%A9-Ti%E1%BB%81m/Mong-b%E1%BA%A1n-ho%C3%A0i-nghi-t%C3%B4i/poem-SXdUCYxChMCrzbKk2EdcLw'},\n",
       " {'title': '“Một đời người quá ngắn”',\n",
       "  'content': 'Một đời người quá ngắn\\nMột ngày sao quá dài\\nBao nhiêu Sao Hôm lặn\\nChẳng mọc thành Sao Mai',\n",
       "  'source': '8-1992\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-S%C4%A9-%C4%90%E1%BA%A1i/M%E1%BB%99t-%C4%91%E1%BB%9Di-ng%C6%B0%E1%BB%9Di-qu%C3%A1-ng%E1%BA%AFn/poem-3_1pIhihPm0StpgLBOxEIQ'},\n",
       " {'title': '“Một người đàn bà đẹp”',\n",
       "  'content': 'Một người đàn bà đẹp\\nMà có lòng thương người\\nThì người đàn bà ấy\\nCàng xinh đẹp gấp mười',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/M%E1%BB%99t-ng%C6%B0%E1%BB%9Di-%C4%91%C3%A0n-b%C3%A0-%C4%91%E1%BA%B9p/poem-dPA9dK7U40qKgzRWrUaWwg'},\n",
       " {'title': '“Nếu muốn làm gì đấy”',\n",
       "  'content': 'Nếu muốn làm gì đấy\\nThì phải làm say mê\\nKhông thì nghỉ cho khoẻ\\nĐừng nửa này nửa kia',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/N%E1%BA%BFu-mu%E1%BB%91n-l%C3%A0m-g%C3%AC-%C4%91%E1%BA%A5y/poem-tTo-G66NSaSIuRYBJ8H9iA'},\n",
       " {'title': '“Ngoảnh mặt với bệ rồng”',\n",
       "  'content': 'Ngoảnh mặt với bệ rồng\\nxua vàng khối bạc thẻ\\ndẫu đao phủ vung gươm\\ncũng đừng mong đổi ý\\n\\nNhưng gặp bạn tri âm\\ndù ngục tù cũng ở\\nngười đẹp của muôn thuở\\ngần gũi và xa vời',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-V%C5%A9-Ti%E1%BB%81m/Ngo%E1%BA%A3nh-m%E1%BA%B7t-v%E1%BB%9Bi-b%E1%BB%87-r%E1%BB%93ng/poem-WPWUR8J33_9m_c2jHvi_Ww'},\n",
       " {'title': '“Người ấy”',\n",
       "  'content': '\"Người ấy\" xưa, gầy lắm\\nMỏng mảnh khói sương buồn\\nĐôi mắt nhìn đăm đắm\\nGiấu một trời mưa tuôn\\n\\nCổng trường thời đi học\\nTôi vẫn thường theo sau\\nMười năm xa, mái tóc...\\nCòn vương hương thuở nào\\n\\n\"Người ấy\" không che nón\\nMỗi khi tan học về\\nKhông thích ai đưa đón\\nDẫu đường dài lê thê\\n\\nÔi một thời ngây thơ\\nKhù khờ mà bướng bỉnh\\nTôi lóng ngóng, lơ ngơ\\nNhút nhát rồi...câm nín\\n\\nNên mùa chia tay ấy\\nMặc phượng hồng lung linh\\nVà ve sầu trổi dậy\\nTôi chỉ nhìn... lặng thinh\\n\\nBây giờ, ngồi tiếc nhớ\\nNgày xanh - tuổi dại khờ\\nƯớc chi đừng cách trở\\n\"Người ấy\" về trong...mơ',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/%C4%90%E1%BB%97-Quang-Vinh/Ng%C6%B0%E1%BB%9Di-%E1%BA%A5y/poem-QhCdBKEHaOevyIqXvrZ_aw'},\n",
       " {'title': '“Người ham muốn càng ít”',\n",
       "  'content': 'Người ham muốn càng ít\\nSẽ càng ít buồn lo\\nNgười nhu cầu tối thiểu\\nLà tột đỉnh tự do',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Ng%C6%B0%E1%BB%9Di-ham-mu%E1%BB%91n-c%C3%A0ng-%C3%ADt/poem-5hA9VeK-VBUR8UhGQP08ng'},\n",
       " {'title': '“Người luôn miệng kêu bận”',\n",
       "  'content': 'Người luôn miệng kêu bận\\nThường lại chính là người\\nLàm được rất ít việc\\nCho mình và cho đời',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Ng%C6%B0%E1%BB%9Di-lu%C3%B4n-mi%E1%BB%87ng-k%C3%AAu-b%E1%BA%ADn/poem-uQlnz134n_GaUSZqo3rBvg'},\n",
       " {'title': '“Người ta đã tổng kết”',\n",
       "  'content': 'Người ta đã tổng kết:\\nChỉ khoảng mười phần trăm\\nLý do gây cãi vã\\nDo khác ý, hiểu lầm\\n\\nChín mươi phần còn lại\\nChỉ vì do hai bên\\nNóng giận và cao giọng\\nChuyện nhỏ mà ầm lên',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Ng%C6%B0%E1%BB%9Di-ta-%C4%91%C3%A3-t%E1%BB%95ng-k%E1%BA%BFt/poem-b3wJlMGAQgY_c_0Az_mUlw'},\n",
       " {'title': '“Những lúc mình vui sướng”',\n",
       "  'content': 'Những lúc mình vui sướng\\nHãy thầm hỏi trong lòng:\\n“Liệu có ai phải khổ\\nVì niềm vui này không?”',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Nh%E1%BB%AFng-l%C3%BAc-m%C3%ACnh-vui-s%C6%B0%E1%BB%9Bng/poem-kIw-35TDUY7h9xlMBMaguw'},\n",
       " {'title': '“Nơi chính tâm cơn bão”',\n",
       "  'content': 'Nơi chính tâm cơn bão\\nDễ tìm được bình tâm',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-V%C5%A9-Ti%E1%BB%81m/N%C6%A1i-ch%C3%ADnh-t%C3%A2m-c%C6%A1n-b%C3%A3o/poem-cG1qCo8hwR0_vBQWjrFlWA'},\n",
       " {'title': '“Quyết tâm và nghị lực”',\n",
       "  'content': 'Quyết tâm và nghị lực\\nGiúp người ta đứng lên\\nCả trong những trường hợp\\nTưởng không thể đứng lên',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Quy%E1%BA%BFt-t%C3%A2m-v%C3%A0-ngh%E1%BB%8B-l%E1%BB%B1c/poem-m_LFiY1iihAIgAP47zM0dw'},\n",
       " {'title': '“Ta buồn khi phải thấy”',\n",
       "  'content': 'Ta buồn khi phải thấy\\nNhiều người bỏ rơi ta\\nBuồn hơn khi chính họ\\nTừng thề luôn bên ta',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Ta-bu%E1%BB%93n-khi-ph%E1%BA%A3i-th%E1%BA%A5y/poem-ZGvJypvP7suWb3AyiojYCQ'},\n",
       " {'title': '“Tài là do thiên phú”',\n",
       "  'content': 'Tài là do thiên phú\\nĐức là do mình rèn\\nHai cái đều quan trọng\\nNhưng đức vẫn xếp trên\\n\\nCó tài không có đức\\nLà tai hoạ cho đời\\nKhông tài nhưng có đức\\nVẫn có lợi cho người',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/T%C3%A0i-l%C3%A0-do-thi%C3%AAn-ph%C3%BA/poem-RHU0kNZhjOGffujIrpfWyA'},\n",
       " {'title': '“Tâm kệ”',\n",
       "  'content': 'Gội rửa sạch trần hồng\\nnhư hoa ướp trầm xông\\nnguyện mười phương pháp giới\\nbi, trí khắp dung thông\\n\\n\\nMặc áo lễ\\n\\nThân mặc áo giải thoát\\nlìa tập nhiễm phù vân\\nnguyện chúng sinh mười cõi\\nlìa vọng huyễn, qui chân\\n\\n\\nThắp nến\\n\\nThắp lửa vô lượng quang\\nsáng soi bảy cửa ngục\\nnguyện chúng sinh vô vàn\\nvề chân thân: Huệ, Đức\\n\\n\\nĐốt trầm hương\\n\\nKhơi lò thanh tịnh trầm\\ngió đưa mười cõi thơm\\nnguyện theo vô lượng Phật\\ncúng dường tri kiến hương\\n\\n\\nDâng quả\\n\\nNhư trái dâng cúng Phật\\nkết hạt chắc Bồ Đề\\nnguyện chúng sinh sáu ngả\\ntinh tấn chuyển tham mê\\n\\n\\nDâng hoa\\n\\nNhư hoa thơm cúng Phật\\ntam nghiệp: giới hương xông\\nnguyện khắp ba thời mộng\\nbừng mở tâm viên đồng\\n\\n\\nThỉnh chuông\\n\\nBa hồi âm định lực\\nngọn triều chuyển sóng cao\\nrung động đất mê vọng\\nrực chiếu mười cõi sao\\ncầu chi ba tạng sách\\nchuyển hóa sáu trần lao\\nnguyện mười phương thế giới\\nthể nhập ánh Phật hào\\n\\n\\nCúng kinh\\n\\nTâm trụ pho Diệu kinh\\nlắng tan ba nghiệp vọng\\nnguyện khắp mười phương mộng\\nchan chứa Phật quang minh\\n\\n\\nMở kinh\\n\\nTay mở trang kinh thơm\\nnhư bừng khai trí huệ\\ncầu chư Phật mười phương\\nsáng soi dòng pháp kệ\\n\\n\\nKhai mõ\\n\\nNhư thắng cương, buộc ngựa\\ný thoát khỏi mê đường\\nnguyện mở bảy cửa ngục\\ncứu nhất thiết tai ương\\n\\n\\nKhép kinh (khi tụng xong)\\n\\nVừa khép pho nhật nguyệt\\nlòng tỏa ánh quang minh\\nnguyện nêu đuốc bất nhị\\nsoi rọi khắp sinh linh\\n\\n\\nCởi áo lễ\\n\\nNguyện lìa nhất thiết tướng\\nnhư bỏ bè qua sông\\nnguyện vào nhất thiết tướng\\nhóa chuyển ngục trần hồng',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Ph%E1%BA%A1m-Thi%C3%AAn-Th%C6%B0/T%C3%A2m-k%E1%BB%87/poem-xBMOgwlu-MTuZ0LOVRL30g'},\n",
       " {'title': '“Tha lỗi lầm cho bạn”',\n",
       "  'content': 'Tha lỗi lầm cho bạn\\nLà việc tốt, tất nhiên\\nNhưng còn tốt hơn thế\\nLà cố gắng để quên',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Tha-l%E1%BB%97i-l%E1%BA%A7m-cho-b%E1%BA%A1n/poem-016zj4JDkIxrPhvSU3L5jg'},\n",
       " {'title': '“Thời gian như tiền bạc”',\n",
       "  'content': 'Thời gian như tiền bạc\\nAnh sống qua một ngày\\nThì có nghĩa ngày ấy\\nKhông còn nữa từ nay\\n\\nThời gian như tiền bạc\\nNhớ tiết kiệm từng đồng\\nTiền bạc kiếm lại được\\nCòn thời gian thì không',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Th%E1%BB%9Di-gian-nh%C6%B0-ti%E1%BB%81n-b%E1%BA%A1c/poem-5Tb-B8IDQD0gVEmW87hRUw'},\n",
       " {'title': '“Tình yêu của bà mẹ”',\n",
       "  'content': 'Tình yêu của bà mẹ\\nLặng lẽ và vô bờ\\nKhông đòi hỏi đáp lại\\nKhông mỏi mệt bao giờ\\n\\nÝ nghĩ của bà mẹ\\nNâng niu bằng tâm hồn\\nLuôn hai lần cân nhắc\\nCho mình và cho con',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/T%C3%ACnh-y%C3%AAu-c%E1%BB%A7a-b%C3%A0-m%E1%BA%B9/poem-2MTBz64vZJ13I2zatI5WMg'},\n",
       " {'title': '“Trong tình yêu, xa cách”',\n",
       "  'content': 'Trong tình yêu, xa cách\\nLà phép thử nhiệm màu\\nTình yêu mà hời hợt\\nSẽ không kéo dài lâu\\n\\nNgược lại, tình yêu mạnh\\nCàng cách xa càng yêu\\nNhư chân trời đỏ rực\\nMỗi sáng và mỗi chiều\\n\\nXa cách là ngọn gió\\nThổi tắt ánh đèn mờ\\nNhưng nó, ngọn gió ấy\\nLàm đống lửa bùng to',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Trong-t%C3%ACnh-y%C3%AAu-xa-c%C3%A1ch/poem-ZBZ_cyYbWhYlVvweUac0aQ'},\n",
       " {'title': '“Tuổi tên...”',\n",
       "  'content': 'Tuổi tên phơi phía trước\\nhoạ phúc ẩn sau trang',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-V%C5%A9-Ti%E1%BB%81m/Tu%E1%BB%95i-t%C3%AAn/poem-KRSvu2Y_jYRsmumGecAVNw'},\n",
       " {'title': '“Về bản chất, giận dữ”',\n",
       "  'content': '“Về bản chất, giận dữ\\nLà cơn điên nhất thời\\nNgười không kiềm chế nó\\nNó sẽ kiềm chế người',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/V%E1%BB%81-b%E1%BA%A3n-ch%E1%BA%A5t-gi%E1%BA%ADn-d%E1%BB%AF/poem-OzJ2trYmUWXpqxC5PLhB0g'},\n",
       " {'title': '“Vì tình yêu phụ nữ”',\n",
       "  'content': 'Vì tình yêu, phụ nữ\\nSẵn sàng hy sinh mình\\nCòn đàn ông thì khác\\nHọ hy sinh người tình',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/V%C3%AC-t%C3%ACnh-y%C3%AAu-ph%E1%BB%A5-n%E1%BB%AF/poem-Mgny3eVssGoF-Dh7gEkt6A'},\n",
       " {'title': '“Với những gì đang có”',\n",
       "  'content': 'Với những gì đang có\\nHãy cảm ơn đất trời\\nRồi bạn có thể có\\nNhiều hơn nữa trong đời\\n\\nChứ suốt ngày mong ước\\nNhững gì đang trong mơ\\nSuốt đời bạn đau khổ\\nKhông thấy đủ bao giờ',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/V%E1%BB%9Bi-nh%E1%BB%AFng-g%C3%AC-%C4%91ang-c%C3%B3/poem-jImOkuDLzCJyRedC-trJ-Q'},\n",
       " {'title': '“Với trẻ con, tốt nhất”',\n",
       "  'content': 'Với trẻ con, tốt nhất\\nLà không cho chúng tiền\\nGiúp làm bài, đi dạo\\nĐỡ tốn và đỡ phiền\\n\\nThật đẹp và ý nghĩa\\nBố dắt con dạo chơi\\nVừa đi vừa bày dạy\\nĐể giúp con thành người',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/V%E1%BB%9Bi-tr%E1%BA%BB-con-t%E1%BB%91t-nh%E1%BA%A5t/poem-1NOlA704_l0KXAlSWP4otg'},\n",
       " {'title': '“Vượt trở ngại là khó”',\n",
       "  'content': 'Vượt trở ngại là khó\\nNhưng khó hơn vẫn là\\nVượt trở ngại lớn nhất\\nLà chính bản thân ta',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/V%C6%B0%E1%BB%A3t-tr%E1%BB%9F-ng%E1%BA%A1i-l%C3%A0-kh%C3%B3/poem-0HMLBkZ0f1EJMprmg1Mqew'},\n",
       " {'title': '“Xinh đẹp không có nghĩa”',\n",
       "  'content': 'Xinh đẹp không có nghĩa\\nLà hạnh phúc hơn người\\nNhưng những người hạnh phúc\\nLuôn xinh đẹp tuyệt vời',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3%A2n/Xinh-%C4%91%E1%BA%B9p-kh%C3%B4ng-c%C3%B3-ngh%C4%A9a/poem-APAV3z7jAzzhT1DU-ohKSg'},\n",
       " {'title': '#18',\n",
       "  'content': 'Tiếng xe đùa qua ngõ\\nCành nguyệt quế rùng mình\\nHương tan trên dấu lặng\\nGiai điệu tròn lung linh.',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tu%E1%BB%87-S%E1%BB%B9/18/poem-vvXMqDr3PYay-7iOBtJn6A'},\n",
       " {'title': '#7',\n",
       "  'content': 'Chung trà đã lịm khói\\nHàng chữ vẫn nối dài\\nThế sự chùm hoa dại\\nỦ mờ con mắt cay.',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tu%E1%BB%87-S%E1%BB%B9/7/poem-IeN7OAC2iSw_jmEooFXqag'},\n",
       " {'title': '01',\n",
       "  'content': 'Sợi tóc cứ gầy đi\\nQua những đêm khó ngủ',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/01/poem-Yo9aQueuAwgpnUbh6JBDZg'},\n",
       " {'title': '01',\n",
       "  'content': 'Thoáng bút mực lặng thinh\\nKhơi vơi một thoáng tình\\nThoáng mai bên thoáng nguyệt\\nƠi tao ngộ thoáng mình',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/01/poem-k6MlVSOJZfPvxk-XTGJRvA'},\n",
       " {'title': '02',\n",
       "  'content': 'Hỏi thử kiếp con người\\nĐã có mấy khi vui\\nHoá ra trong nhịp võng\\nĐã thoáng câu trả lời',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/02/poem-R6sl-3JechljkOwJAS-B6A'},\n",
       " {'title': '03',\n",
       "  'content': 'Mỗi giữa cõi thơ này\\nMới có thoáng mây bay\\nMới có thoáng trăng tỏ\\nThoáng sum nọ - thoáng vầy',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/03/poem--YQuw954NnLednV2Ly9L0A'},\n",
       " {'title': '04',\n",
       "  'content': 'Nước mắt tuôn trong veo\\nHỏi rằng nguồn có sạch',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/04/poem-ZgrSZWo9YOJWMtCHbMJWRg'},\n",
       " {'title': '04',\n",
       "  'content': 'Một thoáng hạnh phương tâm\\nCát lỡ thương bụi lầm\\nCó điều, trong bảng lảng\\nHằng tủm tỉm Thương Sâm',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/04/poem-2HO2beb_29gEl-BaRt4JHQ'},\n",
       " {'title': '05',\n",
       "  'content': 'Một thoáng tiết Thanh minh\\nThoáng ta gặp thoáng mình\\nThoáng Kim bên thoáng Đạm\\nĐẹp thoáng Kiều ba sinh',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/05/poem-KiIgsPtde53uZhnUDrL2QA'},\n",
       " {'title': '06',\n",
       "  'content': 'Thoáng qua rồi thoáng lại\\nTừng thoáng thoáng xuân thu\\n“Động khẩu ưng trường tại”\\nỒ: bướm bướm ngao du',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/06/poem-yUg0_ceg0_KgeImeC7x_HQ'},\n",
       " {'title': '07',\n",
       "  'content': 'Mặt phẳng ánh sáng ở\\nHang hốc - bóng tối về',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/07/poem-z-QI3E0lym6tRiY3DTAGMw'},\n",
       " {'title': '07',\n",
       "  'content': 'Cứ từng từng thoáng một\\nƠi con chim ột rột\\nCứ từng từng thoáng đôi\\nƠi ngôi chùa Một Cột',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/07/poem-ysdNbjOkQSLNgRciI61Z9g'},\n",
       " {'title': '08',\n",
       "  'content': 'Nhịp võng lại rồi qua\\nVì thơ A di đà\\nVãng sanh, lại hồi nhập\\nThoáng thoáng Mạn đà la',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/08/poem-DFRWJMKZzQvCh5PdgrhdgQ'},\n",
       " {'title': '09',\n",
       "  'content': 'Gió về, cây vật vã\\nEm đi, anh lạc đường',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/09/poem-bhaOCpA37q6AXX3W9-picw'},\n",
       " {'title': '09',\n",
       "  'content': 'Một thoáng sát na ơi\\nTrong em thoáng nụ cười\\nTrong anh thoáng hạt lệ\\nLong lanh chín dặm trời',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/09/poem-ewAuwwBn8rjSiTjCwpEZIA'},\n",
       " {'title': '1',\n",
       "  'content': 'Cùng quây quần lại đây\\nNào các em miền xuôi\\nNào các em miền ngược\\nNghe anh kể chuyện này\\nChuyện tổ tiên dựng nước\\n\\nCó em nào biết được\\nVì sao trên đất này\\nRừng hoang thành biển lúa\\nVàng tít tắp hôm nay?\\nBãi lầy thành đồng muối\\nTrắng xoá tận chân mây?\\n\\nCó em nào biết được\\nTrải bao đời dựng xây\\nBao lớp người thuở trước\\nCùng góp sức chung tay?\\nChuyện kể dài đấy nhé\\nThôi, ta bắt đầu ngay!',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/1/poem-8_2gKKpSxKu4ObM44GiyQw'},\n",
       " {'title': '10',\n",
       "  'content': 'Run run ve lột xác\\nMàu nhạc mới cựa mình',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/10/poem-Q44Pi0kZz9OJQKTv-BMxBA'},\n",
       " {'title': '10',\n",
       "  'content': 'Một thoáng - là không thực\\nDo thế - tròn cung bực\\nCấi một thoáng vô cùng\\nẤm mười phương Tứ Đức',\n",
       "  'source': '12.05.09\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/10/poem-DoTGn2PssAgZSvO9pURoTw'},\n",
       " {'title': '106-110',\n",
       "  'content': '106\\nTình nhân nửa cánh hoa mai\\nGió mang theo đến bên đài vọng lâu\\nLệ xanh giổ giấc đêm thâu\\nHoa mai còn đó người đâu chẳng về\\n\\n107\\nChiều tà tuyết rãi bên sông\\nThuyền ai đứng ngóng đợi chờ trăng lên\\nLệ xanh giỏ chút sầu riêng\\nẾch kêu vẳng tiếng nửa miền hư không\\n\\n108\\nChiều tà gió thổi nửa cành mai\\nBóng quạ bên sương thả chiếc hài\\nLệ đổ rêu xanh dày cỏ mọc\\nHài nằm chờ mãi bước chân ai\\n\\n109\\nGió tạc thổi sầu bay tám hướng\\nƯớp sầu bằng nửa cánh hoa mai\\nLệ ai xanh ướt trang đài\\nThuyền quyên đứng lặng xiêm dài áo bay\\n\\n110\\nThu tàn trong lá cây\\nĐời tàn trong ngõ hẹp\\nTình tàn theo gió mây xanh\\nĐêm tàn cô quạnh bên mành lệ rơi',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/H%C3%A0-V%C4%83n-K%E1%BB%B3/106-110/poem-HLXqsf1hkTgjxOJrvdzlew'},\n",
       " {'title': '12',\n",
       "  'content': 'Rễ kiếm sống âm thầm\\nNgọn cây đầm sương giá',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/12/poem-EXkpxdCUnPllfboON3T-gw'},\n",
       " {'title': '126-130',\n",
       "  'content': '126\\nNiềm vui đứt nửa vầng mây\\nCơn sầu đứt nửa chim gầy rạc hoa\\nLệ rơi từng hạt châu sa\\nXanh rơi từng mảnh trăng tà gió lay\\n\\n12\\nẾch nhảy bờ nước lạnh\\nThuyền chìm giữa sông xanh\\nLệ không rơi hạt đọng khô\\nChim buồn ngóng mãi xa bờ nước trôi\\n\\n128\\nĐời reo ngàn dặm nẻo đường\\nTa lo tìm mãi một đường để đi\\nLệ vùi trong đám cỏ thi\\nLá xanh ngủ giấc xuân thì bỏ quên\\n\\n129\\nMang vạn cổ sầu hoa tuyết bay\\nXanh tay rót chén nửa vầng mây\\nNhật nguyệt đâu rồi ai có biết\\nLệ đổ chân trời dế ngủ say\\n\\n130\\nThiên cổ mênh mang sầu tri kỹ\\nNgàn đời gió vẫn thổi vườn khuya\\nLệ mãi xanh rêu dài chiếc bóng\\nTrăng tà rải mãi bóng cô liêu',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/H%C3%A0-V%C4%83n-K%E1%BB%B3/126-130/poem-rQxj6Q_zoFiQNqS_gfouNw'},\n",
       " {'title': '13',\n",
       "  'content': 'Tha hương giữa làng xóm\\nĐơn côi ngay nhà mình',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/13/poem-AkIES4QkWXAZE9ywNZrmFg'},\n",
       " {'title': '14',\n",
       "  'content': 'Sân thượng khóm hồng nở\\nLưng trời trăng toả hương',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/14/poem-qs4oLi6iZo65_KCutxJR-w'},\n",
       " {'title': '15',\n",
       "  'content': 'Mái gà vừa đẻ trứng\\nTiếng cục tác lăn tròn',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/15/poem-MY7_YuTVJB2yuG3L1ZiEUg'},\n",
       " {'title': '18',\n",
       "  'content': 'Ngọn gió cần bầu trời\\nCon dơi mong bóng tối',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/18/poem-663XYZnrZFusWXUJyBEHfg'},\n",
       " {'title': '18',\n",
       "  'content': 'Đám cháy ở sau lưng\\nở trước mặt\\nThan ôi mày chạy đâu\\nDưới vòm trời quen thuộc\\nĐốt bao nhiêu cỏ mật\\nKhông bay mùi thơm tho\\nCàng hun càng đỏ mắt\\nQuay về thung lũng cò.',\n",
       "  'source': 'Những tác phẩm Hương cỏ mật, Vòm trời quen thuộc, Đám cháy trước mặt của nhà văn Đỗ Chu.',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-S%C3%A1ch/18/poem-6zXEkwLWFaquCeSg_5Gspw'},\n",
       " {'title': '2',\n",
       "  'content': 'Tự ngày xửa ngày xưa\\nHàng mấy ngàn năm trước\\nCó vị thần làm vua\\nĐứng đầu trong xứ Lạc\\n\\nDưới một vầng trán cao\\nChếch đôi mày lưỡi mác\\nCó cả hai ngôi sao\\nToả sáng từ đáy mắt\\n\\nMỗi bước chân rẽ nước\\nChói một vòng hào quang\\nLấp lánh trên áo giáp\\nNhững vẩy bạc, vẩy vàng\\n\\nThấy vua có mình rồng\\nLại tài đi dưới nước\\nDân gọi \"Lạc Long Quân\"\\n(Hay Vua Rồng xứ Lạc)',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/2/poem-byePEmZ2L0hgEjQO1qx_hg'},\n",
       " {'title': '3',\n",
       "  'content': 'Lòng vua rất thương dân\\nLàm ăn bao vất vả:\\nNúi cao đầy thú rừng\\nBiển sâu trào sóng cả!\\n\\nNgười bắt ốc ven sông\\nKẻ vào rừng đào củ\\nChênh vênh những nhà sàn\\nĐêm nghe gầm tiếng hổ\\n\\nĂn quả rừng thay cơm\\nBột báng hoà nấu cháo\\nBện cỏ làm chiếu chăn\\nTước vỏ cây dệt áo\\n\\nRừng núi dày lau sậy\\nCỏ mọc kín đồi nương\\nThác lũ tràn cuốn chảy\\nBùn ngập những bãi hoang...\\n\\nVua nghĩ ngợi bao ngày\\nThương nhân dân nghèo đói\\nNào phải xứ Lạc này\\nĐất nuôi người không nổi!\\n\\n- Nhưng vì đâu, vì đâu\\nDân ta còn chịu khổ?\\nCâu hỏi xoáy trong đầu\\nBao đêm dài không ngủ\\n\\nThế rồi một buổi sáng\\nNgựa đã thắng yên cương\\nThăm nhân dân sinh sống\\nVua cùng quân lên đường',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/3/poem-3nq6xlPnw-kZo5LfF_ET_Q'},\n",
       " {'title': '37',\n",
       "  'content': 'Mùa thu chỉ có lá\\nEm không nghe rừng thu\\nRừng mưa to gió cả\\nEm thích nghe mùa xuân\\nCon nai vàng ngơ ngác\\nNó ca bài cải lương.',\n",
       "  'source': 'Hai câu “Em không nghe mùa thu” và “Con nai vàng ngơ ngác” trong bài thơ Tiếng thu của Lưu Trọng Lư.',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-S%C3%A1ch/37/poem-gpt5Oj2aIR64mqtulAy9yg'},\n",
       " {'title': '376',\n",
       "  'content': 'Hoa đẹp vì sẽ tàn\\nTình đẹp vì sẽ tan\\nLệ xanh rơi từng đoạn\\nĐời đẹp những trái ngang',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/H%C3%A0-V%C4%83n-K%E1%BB%B3/376/poem-MsIVMHOCCagfVDZqR1dpyw'},\n",
       " {'title': '38',\n",
       "  'content': 'Một\\nCuộc chiến tranh đi qua\\nRồi trở lại ngôi nhà\\nĐốt lên ngọn lửa ấm\\nNgủ ngon a kai ơi\\nNgủ ngon a kai à...',\n",
       "  'source': 'Tác phẩm Mặt đường khát vọng của nhà thơ Nguyễn Khoa Điềm.',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-S%C3%A1ch/38/poem-wiIt2mvpmjf0G-oL7NnQsA'},\n",
       " {'title': '4',\n",
       "  'content': 'Đến một chiều mù sương\\nMặt trời tà sau núi\\nVua tới bên cửa rừng\\nNơi ánh đèn le lói\\n\\nÔm con trong bóng tối\\nNgười mẹ cúi gục đầu\\nVai gầy xoà tóc rối\\nTiếng nấc nghẹn thương đau...\\n\\nVua ân cần hỏi chuyện\\nNgười mẹ kể đầu đuôi:\\n- \"Chồng đến phiên nộp mạng\\nCho quỷ ăn thịt rồi!\\n\\nXưa vốn ở chốn đây\\nCó một cây cổ thụ\\nLá che rợp mặt trời\\nNhưng bão rừng cuốn đổ\\n\\nTừ gốc nhà mọt ruỗng\\nHoá thành giống Mộc Tinh\\nBắt người ăn thịt sống\\nGây bao nỗi khiếp kinh...\"\\n\\nNghĩ thương dân đau khổ\\nVua tìm đến cánh rừng\\nNơi có cây cổ thụ\\nQuyết diệt mối hoạ chung\\n\\nThấy kiếm loé hào quang\\nSáng đỉnh rừng, măt suối\\nMộc Tinh đã vội vàng\\nLẩn mình vào bóng tối\\n\\nLúc biến thành cây rừng\\nKhi hoá làm vách núi\\nSăn đuổi mấy tháng ròng\\nChân Long Quân chẳng mỏi\\n\\nVừa trọn một năm sau\\nThêm vua cha giúp sức\\nDân khắp miền kéo vào\\nQuanh khu rừng khép chặt\\n\\nNhư một cơn gió lốc\\nCuồn cuộn giữa rừng cây\\nMộc Tinh nào trốn thoát\\nGiữa trùng trùng lưới vây\\n\\nCây rung lá ào ào\\nTrận cuối cùng quyết liệt\\nMộc Tinh hết phép màu\\nPhải cúi đầu khuất phục!\\n\\nNhờ diệt tan ác quỷ\\nĐồi núi lại yên lành\\nKẻ làm nương, hái củi\\nTiếng người rộn rừng xanh',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/4/poem-tPqMbf6wW5QHIKcR_v3cjw'},\n",
       " {'title': '5',\n",
       "  'content': 'Dân đất rừng vui sống\\nLong Quân tạm yên lòng\\nVua lại lên mình ngựa\\nXuôi theo những dòng sông...\\n\\nVừa đến đất Long Biên\\nDừng chân bờ sông Cái\\nNghe đồn chuyện Ly Tinh\\nDân khắp vùng sợ hãi\\n\\nLy Tinh có chín đuôi\\n(Cáo già nghìn tuổi lẻ)\\nLúc hoá phép làm người\\nLúc biến thành ma quỷ...\\n\\nBắt dân nhốt hang sâu\\nĐột lốtt người trà trộn\\nGây bao nỗi khổ đau\\nDân bỏ làng chạy trốn\\n\\nLau sậy chen bờ hoang\\nĐất phù sa màu mỡ\\nMà cỏ ngập đồng làng\\nVì không người cày vỡ\\n\\nKhi Long Quân đến nơi\\nXông thẳng vào hang núi\\nLy Tinh thấy bóng người\\nNhe nanh dài chồm tới\\n\\nNhưng dẫu nghìn phép lạ\\nVẫn thua mũi kiếm thần\\nChém nát đầu ác thú\\nVua đạp xác dưới chân\\n\\nLong Quân truyền lệnh gấp\\nCứu bao người bị giam\\nĐoạn tháo sông tràn ngập\\nNước mạnh lùa cửa hang\\n\\nÀo ào dòng sông Cái\\nChảy xiết mấy đêm ròng\\nNúi cuốn theo nước xoáy\\nThành mặt hồ mênh mông\\n\\nVà vùng đất ven hồ\\nXưa lút đầu cỏ dại\\nGiờ bay mỏi cánh cò\\nTrên màu xanh lúa trải\\n\\nBãi lầy thành vườn tược\\nQuá chín trĩu cành sây\\nLàng Hồ soi bóng nước\\nLồng lộng mặt hồ Tây...',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/5/poem-db6lbOWdxpVGKmxt8Y4AVw'},\n",
       " {'title': '50 năm ngày gặp lại',\n",
       "  'content': 'Một thời mãi nhớ\\nMột thời chưa xa\\nBao nhiêu kỷ niệm\\nHôm nay vỡ oà\\n\\nBạn bè thân thiết\\nTừ thuở tóc xanh\\nBây giờ nhìn lại\\nMây bay bồng bềnh\\n\\nAi từng thương nhớ\\nAi từng giận hờn\\nAi từng tranh cãi\\nBao điều thiệt hơn\\n\\nĐã từng nắm tay\\nĐã từng xa cách\\nĐã từng vui vầy\\nĐã từng hờn trách\\n\\nBàn tay nắm chặt\\nNhư về ngày xưa\\nKhông còn khoảng cách\\nNăm mươi năm này\\n\\nRồi mình chia tay\\nVề muôn lối rẽ\\nXin niềm nhớ khẽ\\nDừng lại nơi này….',\n",
       "  'source': '4/11/2023\\nGạp gỡ các bạn IPB sau 50 năm.',\n",
       "  'url': 'https://www.thivien.net/Thu-Phong/50-n%C4%83m-ng%C3%A0y-g%E1%BA%B7p-l%E1%BA%A1i/poem-h0RdITMlstCpxxlOvCpqXA'},\n",
       " {'title': '6',\n",
       "  'content': 'Diệt xong Cáo chín đuôi\\nRời đồng bằng yên tĩnh\\nVua đi tiếp về xuôi\\nNơi rì rầm sóng biển\\n\\nNhà vua dừng ngựa lại\\nMột chiều bên biển Đông\\nTiếng khóc đâu vẳng tới\\nKhiến Long Quân chạnh lòng\\n\\nKìa xa trên bãi cát\\nDân chài đứng xúm đông\\nQuanh xác thuyền sóng giạt\\nGiữa một ngày trời trong\\n\\nGạt nước mắt tuôn ròng\\nMột ông già kể lại\\nNhững đau khổ xé lòng\\nĐể vua hay mọi nỗi\\n\\n- \"Chúng tôi dân chài lưới\\nSống dựa vào biển khơi\\nNgày biển lành sóng lặng\\nMà chết oan bao người!\\n\\nCon cả đã ra khơi\\nĐi rồi không trở lại!\\nNay còn đứa cháu trai\\nXác cũng không được thấy!\\n\\nCả một vùng duyên hải\\nBao vợ trẻ mất chồng\\nBao con thơ mất bố\\nNước mắt đầy biển Đông...\"\\n\\nÔng già chỉ tay ra\\nEo biển bên vách núi:\\n- \"Kẻ thù nào đâu xa\\nChính nó còn ở đấy!\\n\\nTên nó là Ngư Tinh\\nVốn thuộc loài cá dữ\\nSống ở đây bao đời\\nKhông ai còn nhớ nữa\\n\\nThân dài mấy con sào\\nDa mốc màu đá xám\\nHai con mắt đỏ ngầu\\nHằn những tia lửa giận\\n\\nRăng sắc mũi dao mài\\nMiệng sâu như đáy vực\\nNuốt năm, bảy mạng người\\nNgư Tinh chưa thoả sức!\\n\\nDọc ngang trên mặt sóng\\nKhắp một vùng biển xanh\\nGiở trăm, ngàn phép quỷ\\nHãm lại những dân lành\\n\\nNó lao mình, xé nước\\nSóng cao vượt mái nhà\\nMặt biển xanh nhàu nát\\nTrong gió giật, mưa sa\\n\\nGặp bóng thuyền ra khơi\\nVội quẫy đuôi dậy sóng\\nThuyền đắm, xác dân chài\\nThành mồi ngon căng bụng\\n\\nChuyến thuyền về chiều nay\\nMất cả người lẫn cá\\nSóng đánh giạt vào đây\\nMảnh ván thuyền nát vỡ!\"\\n\\nNghe ông già kể xong\\nLong Quân bao căm uất\\nThương dân, đau quặn lòng\\nVua quyết trừ quái vật!',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Bao/6/poem-M4Fyj1emrqSmc3zJaz-UaA'},\n",
       " {'title': '63',\n",
       "  'content': 'Nhen lên một\\nMong soi gương mặt người\\nBỗng cơn giông nổi dậy\\nMây che một khung trời\\n\\nĐất sau mưa hỡi đất\\nMàu mỡ trôi về đâu\\nCòn trơ chiếc guốc võng\\nTrăng mài mòn canh thâu.',\n",
       "  'source': 'Bếp lửa là tên bài thơ của nhà thơ Bằng Việt.',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-S%C3%A1ch/63/poem-0gB2QPxg08t-iohUs4I3NA'},\n",
       " {'title': '75',\n",
       "  'content': 'Ôi thằng\\nĐi phỏng vấn Chí Phèo\\nLão chết từ tám hoánh\\nĐời mày vẫn gieo neo\\n\\nCòn cái lão Bá Kiến\\nĐục bản in thơ mày\\nBao giờ mày say rượu\\nBao giờ thì ra tay.',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-S%C3%A1ch/75/poem-rYWGbQo1lS_p0M3lVv0bEQ'},\n",
       " {'title': '9 phút tấn công',\n",
       "  'content': '9 giờ 50 phút\\nNgày 15 tháng mười\\nAnh đi ra sân bắn\\nTrắng trong quần áo trắng\\n\\nThời gian cứ trôi nhanh\\nTừng giây như thúc giục\\nTâm trí anh dồn dập\\nTrận tấn công cuối cùng\\n\\nĐôi mắt anh chan chứa\\nMột tình yêu nồng nàn\\nYêu quê hương xứ sở\\nYêu tổ quốc Việt Nam\\nCháy lên như ngọn lửa\\nĐốt trụi cả loài gian\\nÔi tương lai rực rỡ\\nTrong một ánh hào quang\\n\\nGiọng nói anh dâng cao\\nMột niềm tin mãnh liệt\\nTin đồng chí đồng bào\\nTin Bác Hồ tha thiết\\nMạnh như ngọn sóng trào\\nNhận chìm bầy rắn rết\\nMang sức sống tự hào\\nVượt qua đầu cái chết\\n\\n9 giờ 59 phút\\nNgày 15 tháng mười\\nTrong 9 phút ngắn ngủi\\nAnh đã thắng quân thù\\nHình ảnh Nguyễn Văn Trỗi\\nThành cờ mọc khắp nơi\\nHãy nhớ lấy lời tôi\\nThành tiếng ca muôn đời',\n",
       "  'source': '8-11-1964\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/T%E1%BA%BF-Hanh/9-ph%C3%BAt-t%E1%BA%A5n-c%C3%B4ng/poem-b1TOfpmE54VbCAcwUGUx0g'},\n",
       " {'title': 'Ai (II)',\n",
       "  'content': 'Ai nhẹ bước chân xưa,\\ntrong tuyệt mù khát vọng?\\nAi nặng gót tiễn đưa,\\ntrong hoang vu nỗi ngóng?',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%BA%A3ng-H%C3%A0n/Ai-II/poem-gp3MctpdSCEIjoLRVKapRw'},\n",
       " {'title': 'Ai bày đặt chiều nay?',\n",
       "  'content': 'Ai bày đặt chiều nay\\nXui nên điều gặp gỡ\\nDưới vòm xanh tán cây\\nTrong căn nhà lá, nứa?\\n\\nDưới dàn hoa tím, đỏ\\nTrong ngào ngạt hương thơm\\nNhư là câu chuyện cổ\\nCủa mối tinh duyên tiên...\\n\\nAi bày đặt chiều nay\\nXui nên điều gặp gỡ\\nNếu không là duyên số,\\nNếu không là lứa đôi?\\n\\nSao nhìn nhau bối rối\\nSao tiễn nhau dùng dằng\\nSao người đi lối vắng\\nSao người buồn dưới trăng?\\n\\nTay người ngắt chùm hoa,\\nTay người vò nát lá\\nNgười với với kẻ ở\\nCó điều gì bâng khuâng?\\n\\nAi bày dặt chiều nay\\nXui nên điều gặp gỡ\\nXin cầu trời điềm may\\nHai người chung nỗi nhớ.',\n",
       "  'source': '13-4-1998',\n",
       "  'url': 'https://www.thivien.net/V%C5%A9-Th%E1%BB%8B-Kh%C6%B0%C6%A1ng/Ai-b%C3%A0y-%C4%91%E1%BA%B7t-chi%E1%BB%81u-nay/poem-5ViX2c5TONFQJnr7KkpyLw'},\n",
       " {'title': 'Ai biết trước lúc đi',\n",
       "  'content': 'Ai biết trước lúc đi\\nMà đong đầy rương tráp\\nChẳng ai biết sẽ về\\nMà biếu không cho khắp.',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%BA%A3ng-H%C3%A0n/Ai-bi%E1%BA%BFt-tr%C6%B0%E1%BB%9Bc-l%C3%BAc-%C4%91i/poem-rerTWzkq3_W3sjLqvoF2zg'},\n",
       " {'title': 'Ai buồn hơn ai?',\n",
       "  'content': 'Ở bầu trời nào đó\\nai thao thức đêm dài?\\nỞ một ô cửa sổ...\\nbiết ai buồn hơn ai?\\n\\nTa mất mát cả hai\\ntình yêu còn ở lại\\nDẫu được thua, tê tái ...\\nvẫn hạnh phúc đắng lòng!\\n\\nEm chua chát và anh-\\nbuồn dâng trong đáy mắt\\nNgỡ ngàng giây gặp mặt...\\nmà lòng tắt lửa lòng!\\n\\nTrong em là mùa đông\\ntrong anh là hoang vắng\\nTrái tim giờ đắng lặng...\\nbiết ai buồn hơn ai?',\n",
       "  'source': '24 Nov 2009',\n",
       "  'url': 'https://www.thivien.net/V%C5%A9-Th%E1%BB%8B-Minh-Nguy%E1%BB%87t/Ai-bu%E1%BB%93n-h%C6%A1n-ai/poem-wuIz0YIr_f9RFC8jR2qWnw'},\n",
       " {'title': 'Ai chờ ai mùa thu',\n",
       "  'content': 'Nắng ngã vàng mong nhớ\\nAi chờ ai mùa thu\\nBên thềm hoa nở biếc\\nÁo chiều xa sương mù\\n\\nMột lời sao chẳng ngỏ\\nNgày muộn rồi qua mau\\nMưa giăng mờ dốc phố\\nTrên môi ai giọt sầu\\n\\nKhúc quanh nào khuất nẻo\\nSông nước trôi niềm đau\\nNhịp cầu suông bến vắng\\nĐêm lạnh gió ngang đầu\\n\\nĐã bao mùa lá rụng\\nTrong tim người lãng du\\nSao mùa xuân đến chậm\\nCho buồn lá rừng thu',\n",
       "  'source': 'Đà Lạt, 9-5-1991.\\nBài thơ trên đã được nhạc sĩ Hoàng Châu phổ nhạc\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Cao-Qu%E1%BA%A3ng-V%C4%83n/Ai-ch%E1%BB%9D-ai-m%C3%B9a-thu/poem-1EbqmZ89BXfz2sGXzcG_8w'},\n",
       " {'title': 'Ai cười mà xinh thế',\n",
       "  'content': 'ai cười mà xinh thế\\ncho lá úa quên tàn\\ntrái sầu đương lơ lửng\\nbay lên trời\\nvỡ tan\\n\\nai cười mà xinh thế\\nmưa đứng sững lưng trời\\nnắng từ đâu bước lại\\ntựa vào mưa bồi hồi\\n\\nai cười mà xinh thế\\ncho trái đất yên bình\\nđến Đường Tăng cũng gật\\nừ, xinh thật là xinh\\n\\nai cười mà xinh thế\\nlão chiến tranh cúi gằm\\ncô bé và cậu bé\\nbước tới trường tung tăng',\n",
       "  'source': '(2000)',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Th%E1%BA%BF-Ho%C3%A0ng-Linh/Ai-c%C6%B0%E1%BB%9Di-m%C3%A0-xinh-th%E1%BA%BF/poem-JsXBDw73b9M2DOh9g0SNXA'},\n",
       " {'title': 'Ai đón hạ',\n",
       "  'content': 'Ai đi đón mùa hạ\\nĐể nắng về xôn xao\\nChim đùa trong kẽ lá\\nGió thổi từ chiêm bao\\n\\nAi đi đón mùa hạ\\nĐể sớm mai nắng hong\\nChùm hoa sấu trắng xoá\\nDường như cũng ửng hồng\\n\\nAi đi đón mùa hạ\\nVe đầu mùa thử đàn\\nNghe vọng từ xa quá\\nTựa những lời ríu ran\\n\\nEm đi đón mùa hạ\\nAnh có về cùng không\\nĐường quen mà ngỡ lạ\\nMây vương từng bước chân',\n",
       "  'source': '4/5/2009',\n",
       "  'url': 'https://www.thivien.net/Thu-Phong/Ai-%C4%91%C3%B3n-h%E1%BA%A1/poem-afFLrXZR-pcnB-M2ojGukw'},\n",
       " {'title': 'Ai người hiểu rõ nhất?',\n",
       "  'content': 'Chị tôi đi lấy chồng\\nNăm nay ba mươi tuổi\\nBao nhiêu là mong đợi\\nLần đầu tiên có con\\n\\nTôi đến thăm gặp chị\\nĐang quỳ dưới chân con\\nNâng niu thay tã lót\\nĐôi bầu vú sữa căng\\n\\nTôi bồi hồi cảm động\\nChưa dám bước vào phòng\\nSợ bước đi kinh động\\nNgười mẹ âu ếm con\\n\\nBỗng tiếng máy phóng thanh\\nTrầm trầm báo tin dữ:\\nBọn đế quốc Pháp Anh\\nDội bom xuốn thành phố\\nNước Ai Cập hoà bình\\n\\nGian phòng như sầm tối\\nMôi chị tắt nụ cười:\\nPhải chăng là thế giới\\nChiến tranh lại đến rồi?\\n\\nEm ơi lòng người mẹ\\nSợ vô cùng tiếng bom\\nDù tiếng bom ấy nổ\\nCách xa mấy đại dương!\\n\\nCòn gì đau xót hơn\\nBao yêu thương hy vọng\\nNgười mẹ sống nuôi con\\nNhư nuôi một giấc mộng\\n\\nĐau thương của chiến tranh\\nAi người hiểu rõ nhất?\\n– Chính là chị gái tôi\\nNgười chị tuổi ba mươi\\nSinh đứa con đầu lòng.',\n",
       "  'source': '11-1956\\n\\n[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Ph%C3%B9ng-Qu%C3%A1n/Ai-ng%C6%B0%E1%BB%9Di-hi%E1%BB%83u-r%C3%B5-nh%E1%BA%A5t/poem-4Ozs5Ws2Y640ifsWTQiW8Q'},\n",
       " {'title': 'Ai níu mùa xuân đấy',\n",
       "  'content': 'Ai níu mùa xuân xuống\\nCho tóc ta bồng bềnh\\nLòng vẫn đầy khao khát\\nTình yêu dường mưa xuân\\n\\nTình như thuở mười lăm\\nÁo ôm vòng eo nhỏ\\nThanh khiết vai nõn lụa\\nTa dám nào chạm tay\\n\\nTình như thuở xa xăm\\nKhi mắt em khép mở\\nĐôi môi hồng ngúng nguẩy\\nNụ hôn như ngày đầu\\n\\nTa oà vỡ vào nhau\\nThời gian còn đâu nữa\\nĐất trời ngưng nhịp thở\\nChỉ có mình với nhau\\n\\nVà… sương mai giăng đầy\\nVà… cỏ hoa ngập lối\\nTa vươn mình uống vội\\nGiọt sương thơm đầu ngày.',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/L%C3%AA-Th%E1%BB%8B-Kim/Ai-n%C3%ADu-m%C3%B9a-xu%C3%A2n-%C4%91%E1%BA%A5y/poem-mHKUylp0Ay4_lEHEyPiDHw'},\n",
       " {'title': 'Ai về khuya',\n",
       "  'content': 'Chợ trưa ai đợi mẹ\\nBến khuya ai đợi đò\\nSông trăng ai đợi bạn\\nNgõ tre ai về khuya',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%BA%A3ng-H%C3%A0n/Ai-v%E1%BB%81-khuya/poem-Ryze7jz3QInxVqCI5EnYBg'},\n",
       " {'title': 'Ám ảnh',\n",
       "  'content': 'Người ấy đến rất say\\ntừ cao trời bay xuống\\nmột vầng trăng tròn đầy\\nngôi sao nào sáng muộn\\n\\nngười ấy đến rất dại\\ntừ sâu rừng chạy ra\\nmột làn hương thơm ngát\\ntiếng hú nào hoang vu\\n\\nngười ấy đến rất nhớ\\ntừ xa biển dạt về\\nmột ngọn sóng mới vỡ\\ncon thuyền nào khuất đi\\n\\nngười ấy đến rất thương\\ntừ đất đen đứng dậy\\nmột ngọn núi vô cùng\\nmùa xuân đang chín lại\\n\\nngười ấy đến rất thơ\\ncạn cùng tôi ly nữa\\ntrong chuyếnh choáng trong mơ\\ntôi gọi: Hàn Mặc Tử',\n",
       "  'source': 'Thu 84',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Thu%E1%BB%B5-Kha/%C3%81m-%E1%BA%A3nh/poem-cbnm6wwjWHryVa3JGYypuA'},\n",
       " {'title': 'Ám ảnh',\n",
       "  'content': 'Tôi giật mình đánh rơi\\nCon mèo con xuống giếng\\n\\nCái giếng sâu thăm thẳm\\nCái giếng sâu kinh khủng\\nCái giếng nước trong veo\\nTôi cúi nhìn sáp mặt\\nCon mèo con trắng muốt\\nCon mèo con của tôi\\nCon mèo kêu meo meo\\nGọ tay tôi quấn quýt\\nGọ chân tôi quấn quýt\\nCon mèo lông dựng ngược\\nCon mèo đang nhìn tôi\\nMắt trong xanh tận đáy\\nNước trong xanh tận đáy\\nCon mèo đang gọi tôi\\nBằng những bong bóng nước\\nMà tay tôi cứng ngắt\\nMà chân tôi cứng ngắt\\nCon mèo đang giãy giụa\\nCon mèo đang nhìn tôi\\nCòng queo còn mở mắt\\nNgoẹo đầu còn mở mắt\\n\\nTôi giật mình hoảng hốt\\nTôi giật mình khủng khiếp\\nChao ôi là giấc mơ...',\n",
       "  'source': '[Thông tin 1 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/T%C3%B4-H%C3%A0/%C3%81m-%E1%BA%A3nh/poem-KW4MtfU0KfNqvVvvLIFv0A'},\n",
       " {'title': 'Ám ảnh sông xưa',\n",
       "  'content': 'Ôi, con sóng chết khô,\\nvật vờ trong bùn quánh!\\nÔi, những tiếng gọi đò,\\nđầm đìa trong mưa quạnh!',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%BA%A3ng-H%C3%A0n/%C3%81m-%E1%BA%A3nh-s%C3%B4ng-x%C6%B0a/poem-J56x5YUFt2msQ9DpMTHETQ'},\n",
       " {'title': 'Áng dương không biết sầu',\n",
       "  'content': 'Áng dương không biết sầu\\nNằm mãi ở trên cao\\nTia nắng ấm khắp tràn\\nSao chuyển thành hoàng hôn.\\n\\nEm ơi sao tàn nhẫn\\nNỡ xa rời vòng tay\\nMột thoáng như mây bay\\nQuên đi cả lối về.\\n\\nĐợi em những đêm dài\\nKhông một lời đối đáp\\nChỉ nghe tiếng gió hát\\nKhát vọng đến đau thương.\\n\\nEm ơi sao tàn ác\\nNém mắt vào canh thâu\\nÁnh trăng không che nổi\\nGiữa mặt thung lũng sâu.',\n",
       "  'source': 'Nguồn: Lâu Văn Mua, Tôi bay vào mắt em (thơ), NXB Văn học, 2017',\n",
       "  'url': 'https://www.thivien.net/L%C3%A2u-V%C4%83n-Mua/%C3%81ng-d%C6%B0%C6%A1ng-kh%C3%B4ng-bi%E1%BA%BFt-s%E1%BA%A7u/poem-AQptKl9V4idQLzDuWi5CtA'},\n",
       " {'title': 'Anh',\n",
       "  'content': 'Cây bút gẫy trong tay\\nCặn mực khô đáy lọ\\nÁnh điện tắt trong phòng\\nAnh về từ đường phố\\nAnh về từ trận gió\\nAnh về từ cơn mưa\\nTừ những ngày đã qua\\nTừ những ngày chưa tới\\nTừ lòng em nhức nhối...\\n\\nThôi đừng buồn nữa anh\\nTấm rèm cửa màu xanh\\nTrang thơ còn viết dở\\nTách nước nóng trên bàn\\nVà lòng em thương nhớ...\\n\\nỞ ngoài kia trời gió\\nỞ ngoài kia trời mưa\\nCây bàng đêm ngẩn ngơ\\nNước qua đường chảy xiết\\nTóc anh thì ướt đẫm\\nLòng anh thì cô đơn\\nAnh cần chi nơi em\\nSao mà anh chẳng nói\\n\\nAnh, con đường xa ngái\\nAnh, bức vẽ không màu\\nAnh, nghìn nỗi lo âu\\nAnh, dòng thơ nổi gió...\\nMà em người đời thường\\nBiết là anh có ở!',\n",
       "  'source': '19-7-1973\\n\\n[Thông tin 2 nguồn tham khảo đã được ẩn]',\n",
       "  'url': 'https://www.thivien.net/Xu%C3%A2n-Qu%E1%BB%B3nh/Anh/poem-7Scp0w3bpDrXSNX6a7QR2Q'},\n",
       " {'title': 'Anh biết',\n",
       "  'content': 'Không có anh để già\\nLàm sao em được trẻ\\nMuốn nếm được nồng nàn\\nHãy yêu nhau này nhé!\\n\\nAnh thấy anh đã già\\nMắt chứa em trẻ mãi\\nHôm qua gió quá đà\\nXô sóng triều ngân nga…\\n\\nAnh biết mình xưa cũ\\nXa lắc như tinh cầu\\nMột mai… và bất chợt?\\nRơi vào em ngây thơ!\\n\\nAnh không già được nữa\\nEm vẫn trẻ bên đời\\nTrăm năm vòng tay ấm\\nVạn lý bước tình đưa!\\n\\nĐếm được tuổi anh già\\nBiết tuổi em thác đổ\\nAnh trượt xuống đời em\\nĐất trời bừng giác ngộ!\\n\\nĐất hiến dâng tuổi trẻ\\nTrời buông thả tuổi già\\nÔi mùa xuân bất tận\\nHương sắc bừng trong ta!',\n",
       "  'source': '',\n",
       "  'url': 'https://www.thivien.net/Nguy%E1%BB%85n-Minh-D%C5%A9ng/Anh-bi%E1%BA%BFt/poem-30dJ6CEvdrXcYmKVfrcTiw'}]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OrheJ4MiEoWr"
   },
   "outputs": [],
   "source": [
    "dataset_df = pd.DataFrame(datasets)\n",
    "dataset_df.to_csv('dataset.csv', index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 418,
     "status": "ok",
     "timestamp": 1729833009072,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "SbCnp9VWE3rT",
    "outputId": "5a796eb9-1b12-4c7b-c4b9-15cc10d56f63"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 4)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "K-aUOsk4eaNU"
   },
   "source": [
    "**TRANFOMER**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "executionInfo": {
     "elapsed": 768,
     "status": "ok",
     "timestamp": 1731004951529,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "P015bb9WE7zc"
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 614
    },
    "executionInfo": {
     "elapsed": 4,
     "status": "ok",
     "timestamp": 1731004953077,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "HLVaG94ipU9-",
    "outputId": "f913ecd0-32c8-430a-eb06-426d13923145"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "summary": "{\n  \"name\": \"poem_df\",\n  \"rows\": 100,\n  \"fields\": [\n    {\n      \"column\": \"Unnamed: 0\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29,\n        \"min\": 0,\n        \"max\": 99,\n        \"num_unique_values\": 100,\n        \"samples\": [\n          83,\n          53,\n          70\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 93,\n        \"samples\": [\n          \"\\u201cV\\u1ec1 b\\u1ea3n ch\\u1ea5t, gi\\u1eadn d\\u1eef\\u201d\",\n          \"\\u201cM\\u1ed9t ng\\u01b0\\u1eddi \\u0111\\u00e0n b\\u00e0 \\u0111\\u1eb9p\\u201d\",\n          \"08\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"content\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 100,\n        \"samples\": [\n          \"9 gi\\u1edd 50 ph\\u00fat\\nNg\\u00e0y 15 th\\u00e1ng m\\u01b0\\u1eddi\\nAnh \\u0111i ra s\\u00e2n b\\u1eafn\\nTr\\u1eafng trong qu\\u1ea7n \\u00e1o tr\\u1eafng\\n\\nTh\\u1eddi gian c\\u1ee9 tr\\u00f4i nhanh\\nT\\u1eebng gi\\u00e2y nh\\u01b0 th\\u00fac gi\\u1ee5c\\nT\\u00e2m tr\\u00ed anh d\\u1ed3n d\\u1eadp\\nTr\\u1eadn t\\u1ea5n c\\u00f4ng cu\\u1ed1i c\\u00f9ng\\n\\n\\u0110\\u00f4i m\\u1eaft anh chan ch\\u1ee9a\\nM\\u1ed9t t\\u00ecnh y\\u00eau n\\u1ed3ng n\\u00e0n\\nY\\u00eau qu\\u00ea h\\u01b0\\u01a1ng x\\u1ee9 s\\u1edf\\nY\\u00eau t\\u1ed5 qu\\u1ed1c Vi\\u1ec7t Nam\\nCh\\u00e1y l\\u00ean nh\\u01b0 ng\\u1ecdn l\\u1eeda\\n\\u0110\\u1ed1t tr\\u1ee5i c\\u1ea3 lo\\u00e0i gian\\n\\u00d4i t\\u01b0\\u01a1ng lai r\\u1ef1c r\\u1ee1\\nTrong m\\u1ed9t \\u00e1nh h\\u00e0o quang\\n\\nGi\\u1ecdng n\\u00f3i anh d\\u00e2ng cao\\nM\\u1ed9t ni\\u1ec1m tin m\\u00e3nh li\\u1ec7t\\nTin \\u0111\\u1ed3ng ch\\u00ed \\u0111\\u1ed3ng b\\u00e0o\\nTin B\\u00e1c H\\u1ed3 tha thi\\u1ebft\\nM\\u1ea1nh nh\\u01b0 ng\\u1ecdn s\\u00f3ng tr\\u00e0o\\nNh\\u1eadn ch\\u00ecm b\\u1ea7y r\\u1eafn r\\u1ebft\\nMang s\\u1ee9c s\\u1ed1ng t\\u1ef1 h\\u00e0o\\nV\\u01b0\\u1ee3t qua \\u0111\\u1ea7u c\\u00e1i ch\\u1ebft\\n\\n9 gi\\u1edd 59 ph\\u00fat\\nNg\\u00e0y 15 th\\u00e1ng m\\u01b0\\u1eddi\\nTrong 9 ph\\u00fat ng\\u1eafn ng\\u1ee7i\\nAnh \\u0111\\u00e3 th\\u1eafng qu\\u00e2n th\\u00f9\\nH\\u00ecnh \\u1ea3nh Nguy\\u1ec5n V\\u0103n Tr\\u1ed7i\\nTh\\u00e0nh c\\u1edd m\\u1ecdc kh\\u1eafp n\\u01a1i\\nH\\u00e3y nh\\u1edb l\\u1ea5y l\\u1eddi t\\u00f4i\\nTh\\u00e0nh ti\\u1ebfng ca mu\\u00f4n \\u0111\\u1eddi\",\n          \"M\\u1ed9t tho\\u00e1ng h\\u1ea1nh ph\\u01b0\\u01a1ng t\\u00e2m\\nC\\u00e1t l\\u1ee1 th\\u01b0\\u01a1ng b\\u1ee5i l\\u1ea7m\\nC\\u00f3 \\u0111i\\u1ec1u, trong b\\u1ea3ng l\\u1ea3ng\\nH\\u1eb1ng t\\u1ee7m t\\u1ec9m Th\\u01b0\\u01a1ng S\\u00e2m\",\n          \"Ng\\u1ecdn gi\\u00f3 c\\u1ea7n b\\u1ea7u tr\\u1eddi\\nCon d\\u01a1i mong b\\u00f3ng t\\u1ed1i\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"source\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 18,\n        \"samples\": [\n          \"[Th\\u00f4ng tin 1 ngu\\u1ed3n tham kh\\u1ea3o \\u0111\\u00e3 \\u0111\\u01b0\\u1ee3c \\u1ea9n]\",\n          \"8-1992\\n\\n[Th\\u00f4ng tin 1 ngu\\u1ed3n tham kh\\u1ea3o \\u0111\\u00e3 \\u0111\\u01b0\\u1ee3c \\u1ea9n]\",\n          \"8-11-1964\\n\\n[Th\\u00f4ng tin 1 ngu\\u1ed3n tham kh\\u1ea3o \\u0111\\u00e3 \\u0111\\u01b0\\u1ee3c \\u1ea9n]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"url\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 100,\n        \"samples\": [\n          \"https://www.thivien.net/T%E1%BA%BF-Hanh/9-ph%C3%BAt-t%E1%BA%A5n-c%C3%B4ng/poem-b1TOfpmE54VbCAcwUGUx0g\",\n          \"https://www.thivien.net/Tr%E1%BB%A5-V%C5%A9/04/poem-2HO2beb_29gEl-BaRt4JHQ\",\n          \"https://www.thivien.net/Nguy%E1%BB%85n-Ng%E1%BB%8Dc-O%C3%A1nh/18/poem-663XYZnrZFusWXUJyBEHfg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
       "type": "dataframe",
       "variable_name": "poem_df"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-8a7b9b53-cb55-4024-9058-6427ce269e41\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>title</th>\n",
       "      <th>content</th>\n",
       "      <th>source</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>“Bạn xấu như chiếc bóng”</td>\n",
       "      <td>Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\n...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>“Cái làm ta hạnh phúc”</td>\n",
       "      <td>Cái làm ta hạnh phúc\\nThực ra cũng chẳng nhiều...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>“Chiều vừa xốp trên tay”</td>\n",
       "      <td>Chiều vừa xốp trên tay\\nChợt nghe thoáng ong b...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/L%C3%A2m-Huy-Nhu%E1%BA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>“Chơi thân không có nghĩa”</td>\n",
       "      <td>Chơi thân không có nghĩa\\nKhông cãi nhau bao g...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>“Có thể buồn chút ít”</td>\n",
       "      <td>Có thể buồn chút ít\\nMột mình, không người yêu...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>95</td>\n",
       "      <td>Ám ảnh</td>\n",
       "      <td>Tôi giật mình đánh rơi\\nCon mèo con xuống giến...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/T%C3%B4-H%C3%A0/%C3%81...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>96</td>\n",
       "      <td>Ám ảnh sông xưa</td>\n",
       "      <td>Ôi, con sóng chết khô,\\nvật vờ trong bùn quánh...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>97</td>\n",
       "      <td>Áng dương không biết sầu</td>\n",
       "      <td>Áng dương không biết sầu\\nNằm mãi ở trên cao\\n...</td>\n",
       "      <td>Nguồn: Lâu Văn Mua, Tôi bay vào mắt em (thơ), ...</td>\n",
       "      <td>https://www.thivien.net/L%C3%A2u-V%C4%83n-Mua/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>98</td>\n",
       "      <td>Anh</td>\n",
       "      <td>Cây bút gẫy trong tay\\nCặn mực khô đáy lọ\\nÁnh...</td>\n",
       "      <td>19-7-1973\\n\\n[Thông tin 2 nguồn tham khảo đã đ...</td>\n",
       "      <td>https://www.thivien.net/Xu%C3%A2n-Qu%E1%BB%B3n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>99</td>\n",
       "      <td>Anh biết</td>\n",
       "      <td>Không có anh để già\\nLàm sao em được trẻ\\nMuốn...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.thivien.net/Nguy%E1%BB%85n-Minh-D%...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 5 columns</p>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8a7b9b53-cb55-4024-9058-6427ce269e41')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
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       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-8a7b9b53-cb55-4024-9058-6427ce269e41 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-8a7b9b53-cb55-4024-9058-6427ce269e41');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
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       "\n",
       "\n",
       "<div id=\"df-2886eaff-0d7f-451a-8b69-c775d141499c\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2886eaff-0d7f-451a-8b69-c775d141499c')\"\n",
       "            title=\"Suggest charts\"\n",
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       "\n",
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       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
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       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
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       "    fill: var(--button-hover-fill-color);\n",
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       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
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       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
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       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
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       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
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       "      border-right-color: var(--fill-color);\n",
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       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-2886eaff-0d7f-451a-8b69-c775d141499c button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "  <div id=\"id_d46e9ed3-07ab-43d2-b53e-37bcca9b1467\">\n",
       "    <style>\n",
       "      .colab-df-generate {\n",
       "        background-color: #E8F0FE;\n",
       "        border: none;\n",
       "        border-radius: 50%;\n",
       "        cursor: pointer;\n",
       "        display: none;\n",
       "        fill: #1967D2;\n",
       "        height: 32px;\n",
       "        padding: 0 0 0 0;\n",
       "        width: 32px;\n",
       "      }\n",
       "\n",
       "      .colab-df-generate:hover {\n",
       "        background-color: #E2EBFA;\n",
       "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "        fill: #174EA6;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate {\n",
       "        background-color: #3B4455;\n",
       "        fill: #D2E3FC;\n",
       "      }\n",
       "\n",
       "      [theme=dark] .colab-df-generate:hover {\n",
       "        background-color: #434B5C;\n",
       "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "        fill: #FFFFFF;\n",
       "      }\n",
       "    </style>\n",
       "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('poem_df')\"\n",
       "            title=\"Generate code using this dataframe.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "       width=\"24px\">\n",
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       "  </svg>\n",
       "    </button>\n",
       "    <script>\n",
       "      (() => {\n",
       "      const buttonEl =\n",
       "        document.querySelector('#id_d46e9ed3-07ab-43d2-b53e-37bcca9b1467 button.colab-df-generate');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      buttonEl.onclick = () => {\n",
       "        google.colab.notebook.generateWithVariable('poem_df');\n",
       "      }\n",
       "      })();\n",
       "    </script>\n",
       "  </div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "    Unnamed: 0                       title  \\\n",
       "0            0    “Bạn xấu như chiếc bóng”   \n",
       "1            1      “Cái làm ta hạnh phúc”   \n",
       "2            2    “Chiều vừa xốp trên tay”   \n",
       "3            3  “Chơi thân không có nghĩa”   \n",
       "4            4       “Có thể buồn chút ít”   \n",
       "..         ...                         ...   \n",
       "95          95                      Ám ảnh   \n",
       "96          96             Ám ảnh sông xưa   \n",
       "97          97    Áng dương không biết sầu   \n",
       "98          98                         Anh   \n",
       "99          99                    Anh biết   \n",
       "\n",
       "                                              content  \\\n",
       "0   Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\n...   \n",
       "1   Cái làm ta hạnh phúc\\nThực ra cũng chẳng nhiều...   \n",
       "2   Chiều vừa xốp trên tay\\nChợt nghe thoáng ong b...   \n",
       "3   Chơi thân không có nghĩa\\nKhông cãi nhau bao g...   \n",
       "4   Có thể buồn chút ít\\nMột mình, không người yêu...   \n",
       "..                                                ...   \n",
       "95  Tôi giật mình đánh rơi\\nCon mèo con xuống giến...   \n",
       "96  Ôi, con sóng chết khô,\\nvật vờ trong bùn quánh...   \n",
       "97  Áng dương không biết sầu\\nNằm mãi ở trên cao\\n...   \n",
       "98  Cây bút gẫy trong tay\\nCặn mực khô đáy lọ\\nÁnh...   \n",
       "99  Không có anh để già\\nLàm sao em được trẻ\\nMuốn...   \n",
       "\n",
       "                                               source  \\\n",
       "0            [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "1            [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "2            [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "3            [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "4            [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "..                                                ...   \n",
       "95           [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "96                                                NaN   \n",
       "97  Nguồn: Lâu Văn Mua, Tôi bay vào mắt em (thơ), ...   \n",
       "98  19-7-1973\\n\\n[Thông tin 2 nguồn tham khảo đã đ...   \n",
       "99                                                NaN   \n",
       "\n",
       "                                                  url  \n",
       "0   https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "1   https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "2   https://www.thivien.net/L%C3%A2m-Huy-Nhu%E1%BA...  \n",
       "3   https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "4   https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "..                                                ...  \n",
       "95  https://www.thivien.net/T%C3%B4-H%C3%A0/%C3%81...  \n",
       "96  https://www.thivien.net/%C4%90%E1%BB%97-Qu%E1%...  \n",
       "97  https://www.thivien.net/L%C3%A2u-V%C4%83n-Mua/...  \n",
       "98  https://www.thivien.net/Xu%C3%A2n-Qu%E1%BB%B3n...  \n",
       "99  https://www.thivien.net/Nguy%E1%BB%85n-Minh-D%...  \n",
       "\n",
       "[100 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poem_df = pd.read_csv(\"/content/drive/MyDrive/MY NOTEBOOK/PROJECT/POEM/dataset.csv\")\n",
    "poem_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 382
    },
    "executionInfo": {
     "elapsed": 356,
     "status": "ok",
     "timestamp": 1731004957132,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "kkqyT_yXpqac",
    "outputId": "2e8c6200-0fe7-4ea5-8f9e-66c71c5492d5"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-5-525e2acde627>:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
      "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
      "\n",
      "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
      "\n",
      "\n",
      "  poem_df['source'].fillna('DucTai',inplace=True)\n"
     ]
    },
    {
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   ],
   "source": [
    "poem_df.isnull().sum()\n",
    "poem_df['source'].fillna('DucTai',inplace=True)\n",
    "poem_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 554
    },
    "executionInfo": {
     "elapsed": 377,
     "status": "ok",
     "timestamp": 1731004958618,
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    "id": "FheikKRtqHil",
    "outputId": "f5dc7a39-3fac-442f-cd22-bf67f20f85ca"
   },
   "outputs": [
    {
     "data": {
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       "type": "dataframe",
       "variable_name": "poem_df"
      },
      "text/html": [
       "\n",
       "  <div id=\"df-484b8473-28be-47e6-bd57-608f1f3f5b9e\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>title</th>\n",
       "      <th>content</th>\n",
       "      <th>source</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>“Bạn xấu như chiếc bóng”</td>\n",
       "      <td>Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\n...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>“Cái làm ta hạnh phúc”</td>\n",
       "      <td>Cái làm ta hạnh phúc\\nThực ra cũng chẳng nhiều...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>“Chiều vừa xốp trên tay”</td>\n",
       "      <td>Chiều vừa xốp trên tay\\nChợt nghe thoáng ong b...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/L%C3%A2m-Huy-Nhu%E1%BA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>“Chơi thân không có nghĩa”</td>\n",
       "      <td>Chơi thân không có nghĩa\\nKhông cãi nhau bao g...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>“Có thể buồn chút ít”</td>\n",
       "      <td>Có thể buồn chút ít\\nMột mình, không người yêu...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>“Có thể có ông bố”</td>\n",
       "      <td>Có thể có ông bố\\nKhông yêu con; xưa nay\\nĐã ô...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>“Dưới giàn hoa thiên lý...”</td>\n",
       "      <td>Dưới giàn hoa thiên lý\\nMột mình anh đang ngồi...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Nguy%E1%BB%85n-Nh%E1%B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>“Đàn ông đòi phụ nữ”</td>\n",
       "      <td>Đàn ông đòi phụ nữ\\nDâng hiến hết cho mình\\nĐư...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>“Đến, nhiều nơi để đến”</td>\n",
       "      <td>Đến, nhiều nơi để đến\\nVề, trở lại với mình\\nC...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>“Đừng bao giờ dại dột”</td>\n",
       "      <td>Đừng bao giờ dại dột\\nĐem chuyện riêng của mìn...</td>\n",
       "      <td>[Thông tin 1 nguồn tham khảo đã được ẩn]</td>\n",
       "      <td>https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "\n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-484b8473-28be-47e6-bd57-608f1f3f5b9e')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "\n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-484b8473-28be-47e6-bd57-608f1f3f5b9e button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-484b8473-28be-47e6-bd57-608f1f3f5b9e');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
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       "\n",
       "\n",
       "<div id=\"df-0ebb7a4e-c6bf-455e-93ac-d24079169e0b\">\n",
       "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0ebb7a4e-c6bf-455e-93ac-d24079169e0b')\"\n",
       "            title=\"Suggest charts\"\n",
       "            style=\"display:none;\">\n",
       "\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
       "     width=\"24px\">\n",
       "    <g>\n",
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       "    </g>\n",
       "</svg>\n",
       "  </button>\n",
       "\n",
       "<style>\n",
       "  .colab-df-quickchart {\n",
       "      --bg-color: #E8F0FE;\n",
       "      --fill-color: #1967D2;\n",
       "      --hover-bg-color: #E2EBFA;\n",
       "      --hover-fill-color: #174EA6;\n",
       "      --disabled-fill-color: #AAA;\n",
       "      --disabled-bg-color: #DDD;\n",
       "  }\n",
       "\n",
       "  [theme=dark] .colab-df-quickchart {\n",
       "      --bg-color: #3B4455;\n",
       "      --fill-color: #D2E3FC;\n",
       "      --hover-bg-color: #434B5C;\n",
       "      --hover-fill-color: #FFFFFF;\n",
       "      --disabled-bg-color: #3B4455;\n",
       "      --disabled-fill-color: #666;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart {\n",
       "    background-color: var(--bg-color);\n",
       "    border: none;\n",
       "    border-radius: 50%;\n",
       "    cursor: pointer;\n",
       "    display: none;\n",
       "    fill: var(--fill-color);\n",
       "    height: 32px;\n",
       "    padding: 0;\n",
       "    width: 32px;\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart:hover {\n",
       "    background-color: var(--hover-bg-color);\n",
       "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "    fill: var(--button-hover-fill-color);\n",
       "  }\n",
       "\n",
       "  .colab-df-quickchart-complete:disabled,\n",
       "  .colab-df-quickchart-complete:disabled:hover {\n",
       "    background-color: var(--disabled-bg-color);\n",
       "    fill: var(--disabled-fill-color);\n",
       "    box-shadow: none;\n",
       "  }\n",
       "\n",
       "  .colab-df-spinner {\n",
       "    border: 2px solid var(--fill-color);\n",
       "    border-color: transparent;\n",
       "    border-bottom-color: var(--fill-color);\n",
       "    animation:\n",
       "      spin 1s steps(1) infinite;\n",
       "  }\n",
       "\n",
       "  @keyframes spin {\n",
       "    0% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "      border-left-color: var(--fill-color);\n",
       "    }\n",
       "    20% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    30% {\n",
       "      border-color: transparent;\n",
       "      border-left-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    40% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-top-color: var(--fill-color);\n",
       "    }\n",
       "    60% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "    }\n",
       "    80% {\n",
       "      border-color: transparent;\n",
       "      border-right-color: var(--fill-color);\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "    90% {\n",
       "      border-color: transparent;\n",
       "      border-bottom-color: var(--fill-color);\n",
       "    }\n",
       "  }\n",
       "</style>\n",
       "\n",
       "  <script>\n",
       "    async function quickchart(key) {\n",
       "      const quickchartButtonEl =\n",
       "        document.querySelector('#' + key + ' button');\n",
       "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
       "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
       "      try {\n",
       "        const charts = await google.colab.kernel.invokeFunction(\n",
       "            'suggestCharts', [key], {});\n",
       "      } catch (error) {\n",
       "        console.error('Error during call to suggestCharts:', error);\n",
       "      }\n",
       "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
       "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
       "    }\n",
       "    (() => {\n",
       "      let quickchartButtonEl =\n",
       "        document.querySelector('#df-0ebb7a4e-c6bf-455e-93ac-d24079169e0b button');\n",
       "      quickchartButtonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "    })();\n",
       "  </script>\n",
       "</div>\n",
       "\n",
       "    </div>\n",
       "  </div>\n"
      ],
      "text/plain": [
       "   Unnamed: 0                        title  \\\n",
       "0           0     “Bạn xấu như chiếc bóng”   \n",
       "1           1       “Cái làm ta hạnh phúc”   \n",
       "2           2     “Chiều vừa xốp trên tay”   \n",
       "3           3   “Chơi thân không có nghĩa”   \n",
       "4           4        “Có thể buồn chút ít”   \n",
       "5           5           “Có thể có ông bố”   \n",
       "6           6  “Dưới giàn hoa thiên lý...”   \n",
       "7           7         “Đàn ông đòi phụ nữ”   \n",
       "8           8      “Đến, nhiều nơi để đến”   \n",
       "9           9       “Đừng bao giờ dại dột”   \n",
       "\n",
       "                                             content  \\\n",
       "0  Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\n...   \n",
       "1  Cái làm ta hạnh phúc\\nThực ra cũng chẳng nhiều...   \n",
       "2  Chiều vừa xốp trên tay\\nChợt nghe thoáng ong b...   \n",
       "3  Chơi thân không có nghĩa\\nKhông cãi nhau bao g...   \n",
       "4  Có thể buồn chút ít\\nMột mình, không người yêu...   \n",
       "5  Có thể có ông bố\\nKhông yêu con; xưa nay\\nĐã ô...   \n",
       "6  Dưới giàn hoa thiên lý\\nMột mình anh đang ngồi...   \n",
       "7  Đàn ông đòi phụ nữ\\nDâng hiến hết cho mình\\nĐư...   \n",
       "8  Đến, nhiều nơi để đến\\nVề, trở lại với mình\\nC...   \n",
       "9  Đừng bao giờ dại dột\\nĐem chuyện riêng của mìn...   \n",
       "\n",
       "                                     source  \\\n",
       "0  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "1  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "2  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "3  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "4  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "5  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "6  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "7  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "8  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "9  [Thông tin 1 nguồn tham khảo đã được ẩn]   \n",
       "\n",
       "                                                 url  \n",
       "0  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "1  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "2  https://www.thivien.net/L%C3%A2m-Huy-Nhu%E1%BA...  \n",
       "3  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "4  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "5  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "6  https://www.thivien.net/Nguy%E1%BB%85n-Nh%E1%B...  \n",
       "7  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "8  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  \n",
       "9  https://www.thivien.net/Th%C3%A1i-B%C3%A1-T%C3...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poem_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "executionInfo": {
     "elapsed": 369,
     "status": "ok",
     "timestamp": 1731004647515,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "WR2_CXaip8Lv",
    "outputId": "0205ca4c-a992-4da3-ccc3-3dece6c76663"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'Bạn xấu như chiếc bóng\\nCứ bám riết theo anh\\nKhi anh sáng, rực rỡ\\nNhư mặt trời long lanh\\n\\nNhưng họ sẽ biến mất\\nKhi trời phủ mây đen\\nTức là khi anh đói\\nTrong túi không có tiền'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poem_df['content'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 366,
     "status": "ok",
     "timestamp": 1731004657217,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "M90Q84T2sIuL",
    "outputId": "f441e6bb-d870-45ab-b9d7-a4741f1fae5a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Bạn xấu như chiếc bóng',\n",
       " 'Cứ bám riết theo anh',\n",
       " 'Khi anh sáng, rực rỡ',\n",
       " 'Như mặt trời long lanh',\n",
       " '',\n",
       " 'Nhưng họ sẽ biến mất',\n",
       " 'Khi trời phủ mây đen',\n",
       " 'Tức là khi anh đói',\n",
       " 'Trong túi không có tiền']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "poem_df['content'][0].split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 511,
     "status": "ok",
     "timestamp": 1731004963107,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "ofTG52alfcK9",
    "outputId": "00b0c282-784e-47a1-d3b7-90c9da03c0ac"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: FutureWarning: ChainedAssignmentError: behaviour will change in pandas 3.0!\n",
      "You are setting values through chained assignment. Currently this works in certain cases, but when using Copy-on-Write (which will become the default behaviour in pandas 3.0) this will never work to update the original DataFrame or Series, because the intermediate object on which we are setting values will behave as a copy.\n",
      "A typical example is when you are setting values in a column of a DataFrame, like:\n",
      "\n",
      "df[\"col\"][row_indexer] = value\n",
      "\n",
      "Use `df.loc[row_indexer, \"col\"] = values` instead, to perform the assignment in a single step and ensure this keeps updating the original `df`.\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
      "<ipython-input-7-0e86193a0381>:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n"
     ]
    }
   ],
   "source": [
    "def text_nom(text):\n",
    "  return text.strip()\n",
    "\n",
    "for i in poem_df['content'].index:\n",
    "  poem_df['content'][i] = text_nom(poem_df['content'][i])\n",
    "  poem_df['source'][i] = text_nom(poem_df['source'][i])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "collapsed": true,
    "executionInfo": {
     "elapsed": 201280,
     "status": "ok",
     "timestamp": 1731004912292,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "kzKp8B04go9q",
    "outputId": "5c08b22b-0917-418b-e39f-a73824eae3c2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.5.0+cu121\n",
      "Collecting torchtext==0.16.1\n",
      "  Downloading torchtext-0.16.1-cp310-cp310-manylinux1_x86_64.whl.metadata (7.5 kB)\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from torchtext==0.16.1) (4.66.6)\n",
      "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchtext==0.16.1) (2.32.3)\n",
      "Collecting torch==2.1.1 (from torchtext==0.16.1)\n",
      "  Downloading torch-2.1.1-cp310-cp310-manylinux1_x86_64.whl.metadata (25 kB)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchtext==0.16.1) (1.26.4)\n",
      "Collecting torchdata==0.7.1 (from torchtext==0.16.1)\n",
      "  Downloading torchdata-0.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (13 kB)\n",
      "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchtext==0.16.1) (3.16.1)\n",
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      "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.1.1->torchtext==0.16.1) (2024.10.0)\n",
      "Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
      "Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
      "Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
      "Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
      "Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
      "Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
      "Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
      "Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
      "Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
      "Collecting nvidia-nccl-cu12==2.18.1 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)\n",
      "Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)\n",
      "Collecting triton==2.1.0 (from torch==2.1.1->torchtext==0.16.1)\n",
      "  Downloading triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (1.3 kB)\n",
      "Requirement already satisfied: urllib3>=1.25 in /usr/local/lib/python3.10/dist-packages (from torchdata==0.7.1->torchtext==0.16.1) (2.2.3)\n",
      "Requirement already satisfied: nvidia-nvjitlink-cu12 in /usr/local/lib/python3.10/dist-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.1.1->torchtext==0.16.1) (12.6.77)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchtext==0.16.1) (3.4.0)\n",
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      "Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.1.1->torchtext==0.16.1) (1.3.0)\n",
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      "\u001b[?25hDownloading nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl (209.8 MB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.8/209.8 MB\u001b[0m \u001b[31m6.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hDownloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.1/99.1 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hDownloading triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (89.2 MB)\n",
      "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m89.2/89.2 MB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
      "\u001b[?25hInstalling collected packages: triton, nvidia-nvtx-cu12, nvidia-nccl-cu12, nvidia-cusparse-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusolver-cu12, nvidia-cudnn-cu12, torch, torchdata, torchtext\n",
      "  Attempting uninstall: nvidia-nccl-cu12\n",
      "    Found existing installation: nvidia-nccl-cu12 2.23.4\n",
      "    Uninstalling nvidia-nccl-cu12-2.23.4:\n",
      "      Successfully uninstalled nvidia-nccl-cu12-2.23.4\n",
      "  Attempting uninstall: nvidia-cusparse-cu12\n",
      "    Found existing installation: nvidia-cusparse-cu12 12.5.4.2\n",
      "    Uninstalling nvidia-cusparse-cu12-12.5.4.2:\n",
      "      Successfully uninstalled nvidia-cusparse-cu12-12.5.4.2\n",
      "  Attempting uninstall: nvidia-curand-cu12\n",
      "    Found existing installation: nvidia-curand-cu12 10.3.7.77\n",
      "    Uninstalling nvidia-curand-cu12-10.3.7.77:\n",
      "      Successfully uninstalled nvidia-curand-cu12-10.3.7.77\n",
      "  Attempting uninstall: nvidia-cufft-cu12\n",
      "    Found existing installation: nvidia-cufft-cu12 11.3.0.4\n",
      "    Uninstalling nvidia-cufft-cu12-11.3.0.4:\n",
      "      Successfully uninstalled nvidia-cufft-cu12-11.3.0.4\n",
      "  Attempting uninstall: nvidia-cuda-runtime-cu12\n",
      "    Found existing installation: nvidia-cuda-runtime-cu12 12.6.77\n",
      "    Uninstalling nvidia-cuda-runtime-cu12-12.6.77:\n",
      "      Successfully uninstalled nvidia-cuda-runtime-cu12-12.6.77\n",
      "  Attempting uninstall: nvidia-cuda-cupti-cu12\n",
      "    Found existing installation: nvidia-cuda-cupti-cu12 12.6.80\n",
      "    Uninstalling nvidia-cuda-cupti-cu12-12.6.80:\n",
      "      Successfully uninstalled nvidia-cuda-cupti-cu12-12.6.80\n",
      "  Attempting uninstall: nvidia-cublas-cu12\n",
      "    Found existing installation: nvidia-cublas-cu12 12.6.3.3\n",
      "    Uninstalling nvidia-cublas-cu12-12.6.3.3:\n",
      "      Successfully uninstalled nvidia-cublas-cu12-12.6.3.3\n",
      "  Attempting uninstall: nvidia-cusolver-cu12\n",
      "    Found existing installation: nvidia-cusolver-cu12 11.7.1.2\n",
      "    Uninstalling nvidia-cusolver-cu12-11.7.1.2:\n",
      "      Successfully uninstalled nvidia-cusolver-cu12-11.7.1.2\n",
      "  Attempting uninstall: nvidia-cudnn-cu12\n",
      "    Found existing installation: nvidia-cudnn-cu12 9.5.1.17\n",
      "    Uninstalling nvidia-cudnn-cu12-9.5.1.17:\n",
      "      Successfully uninstalled nvidia-cudnn-cu12-9.5.1.17\n",
      "  Attempting uninstall: torch\n",
      "    Found existing installation: torch 2.5.0+cu121\n",
      "    Uninstalling torch-2.5.0+cu121:\n",
      "      Successfully uninstalled torch-2.5.0+cu121\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "torchaudio 2.5.0+cu121 requires torch==2.5.0, but you have torch 2.1.1 which is incompatible.\n",
      "torchvision 0.20.0+cu121 requires torch==2.5.0, but you have torch 2.1.1 which is incompatible.\u001b[0m\u001b[31m\n",
      "\u001b[0mSuccessfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvtx-cu12-12.1.105 torch-2.1.1 torchdata-0.7.1 torchtext-0.16.1 triton-2.1.0\n"
     ]
    },
    {
     "data": {
      "application/vnd.colab-display-data+json": {
       "id": "621bf3b3135147be9e0a573a25dcffaa",
       "pip_warning": {
        "packages": [
         "torch",
         "torchgen"
        ]
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import torch\n",
    "print(torch.__version__)\n",
    "!pip install torchtext==0.16.1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "executionInfo": {
     "elapsed": 8638,
     "status": "ok",
     "timestamp": 1731004937373,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "JVA5I27Egg_F"
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "from torchtext.data import get_tokenizer\n",
    "from torchtext.vocab import build_vocab_from_iterator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 500,
     "status": "ok",
     "timestamp": 1731005091868,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "c_d7LqxTf4gr",
    "outputId": "790b0893-0b40-497b-d628-bc10bba2e7cb"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'“Liệu': 1908,\n",
       " 'ột': 1901,\n",
       " 'ẩn': 1897,\n",
       " 'ầm': 1896,\n",
       " 'ảnh': 1894,\n",
       " 'ướp': 1893,\n",
       " 'ương': 1891,\n",
       " 'Ước': 1888,\n",
       " 'đồn': 1883,\n",
       " 'đồi': 1882,\n",
       " 'đẻ': 1877,\n",
       " 'đẫm': 1872,\n",
       " 'đầu...': 1871,\n",
       " 'đấy!': 1870,\n",
       " 'đại': 1868,\n",
       " 'đơn': 1864,\n",
       " 'đò': 1860,\n",
       " 'đìa': 1859,\n",
       " 'đám': 1857,\n",
       " 'đá': 1856,\n",
       " 'đào': 1855,\n",
       " 'đoạn': 1851,\n",
       " 'đong': 1850,\n",
       " 'đuốc': 1853,\n",
       " 'điệu': 1849,\n",
       " 'điều,': 1847,\n",
       " 'điềm': 1846,\n",
       " 'điên': 1845,\n",
       " 'đi,': 1844,\n",
       " 'đao': 1842,\n",
       " 'Đục': 1840,\n",
       " 'Đợi': 1839,\n",
       " 'Đỡ': 1838,\n",
       " 'Đồi': 1836,\n",
       " 'Đề': 1835,\n",
       " 'Đến,': 1834,\n",
       " 'Đếm': 1832,\n",
       " 'Được': 1830,\n",
       " 'Đơn': 1829,\n",
       " 'Đông...\"': 1828,\n",
       " 'Đông': 1827,\n",
       " 'Đây,': 1826,\n",
       " 'Đàn': 1824,\n",
       " 'Đà': 1823,\n",
       " 'Đau': 1821,\n",
       " 'úa': 1817,\n",
       " 'ôm': 1816,\n",
       " 'ô-kê': 1815,\n",
       " 'ích': 1812,\n",
       " 'à...': 1810,\n",
       " 'Áng': 1806,\n",
       " 'Ào': 1805,\n",
       " 'xửa': 1804,\n",
       " 'xốp': 1803,\n",
       " 'xấu': 1801,\n",
       " 'xăm': 1800,\n",
       " 'xúm': 1799,\n",
       " 'ếm': 1898,\n",
       " 'xám': 1794,\n",
       " 'xuốn': 1793,\n",
       " 'xem': 1787,\n",
       " 'vực': 1783,\n",
       " 'vỗ': 1780,\n",
       " 'vỏ': 1778,\n",
       " 'về.': 1775,\n",
       " 'vẽ': 1773,\n",
       " 'vả:': 1768,\n",
       " 'vạn': 1767,\n",
       " 'vượt': 1766,\n",
       " 'vùi': 1762,\n",
       " 'ván': 1757,\n",
       " 'viết': 1754,\n",
       " 'viên': 1753,\n",
       " 'uất': 1750,\n",
       " 'tủm': 1748,\n",
       " 'tụng': 1747,\n",
       " 'tột': 1746,\n",
       " 'tổng': 1745,\n",
       " 'tịnh': 1742,\n",
       " 'tắp': 1740,\n",
       " 'tập': 1739,\n",
       " 'tất': 1738,\n",
       " 'tạng': 1737,\n",
       " 'tạm': 1736,\n",
       " 'tại': 1734,\n",
       " 'túi': 1731,\n",
       " 'tù': 1730,\n",
       " 'tán': 1722,\n",
       " 'vung': 1755,\n",
       " 'tung': 1719,\n",
       " 'trừ': 1718,\n",
       " 'trứng': 1717,\n",
       " 'trụ': 1715,\n",
       " 'trộn': 1714,\n",
       " 'trổi': 1713,\n",
       " 'trọn': 1712,\n",
       " 'trưởng': 1708,\n",
       " 'trưa': 1707,\n",
       " 'trăng?': 1704,\n",
       " 'trách': 1698,\n",
       " 'truyền': 1697,\n",
       " 'trong...mơ': 1696,\n",
       " 'toả': 1693,\n",
       " 'tiếp': 1692,\n",
       " 'tiên...': 1690,\n",
       " 'tia': 1689,\n",
       " 'thức': 1688,\n",
       " 'thở': 1687,\n",
       " 'thẳng': 1683,\n",
       " 'thấy!': 1679,\n",
       " 'thương.': 1677,\n",
       " 'thông': 1674,\n",
       " 'thê': 1672,\n",
       " 'thèm': 1671,\n",
       " 'thâu!': 1669,\n",
       " 'thân:': 1668,\n",
       " 'tháo': 1667,\n",
       " 'thác': 1666,\n",
       " 'thua': 1664,\n",
       " 'thoả': 1663,\n",
       " 'tho': 1662,\n",
       " 'thiểu': 1660,\n",
       " 'thi': 1659,\n",
       " 'thang': 1657,\n",
       " 'tha': 1655,\n",
       " 'tay?': 1654,\n",
       " 'thôi': 1673,\n",
       " 'tay.': 1653,\n",
       " 'tao': 1652,\n",
       " 'tang': 1651,\n",
       " 'ta,': 1649,\n",
       " 'ta!': 1648,\n",
       " 'sững': 1647,\n",
       " 'sức!': 1645,\n",
       " 'sở': 1644,\n",
       " 'sớm': 1643,\n",
       " 'sổ...': 1642,\n",
       " 'số,': 1641,\n",
       " 'sầm': 1639,\n",
       " 'sấu': 1638,\n",
       " 'sướng': 1637,\n",
       " 'sông...': 1636,\n",
       " 'sâu.': 1634,\n",
       " 'sát': 1632,\n",
       " 'sáp': 1631,\n",
       " 'suốt': 1627,\n",
       " 'suối': 1626,\n",
       " 'suông': 1625,\n",
       " 'sum': 1624,\n",
       " 'rừng,': 1619,\n",
       " 'rợp': 1618,\n",
       " 'Ướp': 1889,\n",
       " 'rời': 1617,\n",
       " 'tát': 1723,\n",
       " 'rớt': 1616,\n",
       " 'rộn': 1614,\n",
       " 'rồi?': 1613,\n",
       " 'rồi...câm': 1612,\n",
       " 'rầm': 1605,\n",
       " 'rải': 1604,\n",
       " 'rương': 1601,\n",
       " 'rùng': 1600,\n",
       " 'ríu': 1597,\n",
       " 'rì': 1596,\n",
       " 'rèn': 1595,\n",
       " 'rèm': 1594,\n",
       " 'rãi': 1593,\n",
       " 'đưa,': 1866,\n",
       " 'ruỗng': 1592,\n",
       " 'riết': 1590,\n",
       " 'reo': 1589,\n",
       " 'quỷ...': 1587,\n",
       " 'quỳ': 1586,\n",
       " 'quặn': 1584,\n",
       " 'quẫy': 1583,\n",
       " 'quạnh!': 1582,\n",
       " 'quê': 1579,\n",
       " 'quây': 1578,\n",
       " 'quyên': 1575,\n",
       " 'vọng?': 1777,\n",
       " 'queo': 1573,\n",
       " 'tược': 1732,\n",
       " 'tiếc': 1691,\n",
       " 'quanh': 1572,\n",
       " 'xoà': 1791,\n",
       " 'phỏng': 1570,\n",
       " 'phơi': 1567,\n",
       " 'phú': 1566,\n",
       " 'phóng': 1565,\n",
       " 'nứa?': 1559,\n",
       " 'nộp': 1558,\n",
       " 'nối': 1556,\n",
       " 'nọ': 1555,\n",
       " 'nề': 1554,\n",
       " 'núi:': 1546,\n",
       " 'nõn': 1545,\n",
       " 'tác': 1720,\n",
       " 'nôn': 1544,\n",
       " 'nó,': 1541,\n",
       " 'nín': 1539,\n",
       " 'nêu': 1538,\n",
       " 'tỉm': 1741,\n",
       " 'nhớ.': 1534,\n",
       " 'nhối...': 1532,\n",
       " 'nhằn': 1527,\n",
       " 'nhấc': 1522,\n",
       " 'nhảy': 1521,\n",
       " 'nhả': 1520,\n",
       " 'nhạc': 1519,\n",
       " 'nhưng': 1518,\n",
       " 'nhé!': 1516,\n",
       " 'nhé': 1515,\n",
       " 'Ồ:': 1900,\n",
       " 'nhã': 1514,\n",
       " 'nhát': 1513,\n",
       " 'nhàng': 1511,\n",
       " 'nhiệm': 1509,\n",
       " 'nhiên': 1507,\n",
       " 'nhanh': 1506,\n",
       " 'ngừng': 1505,\n",
       " 'ngỡ': 1502,\n",
       " 'ngộ!': 1500,\n",
       " 'rết': 1608,\n",
       " 'ngỏ': 1498,\n",
       " 'ngả': 1495,\n",
       " 'người!': 1493,\n",
       " 'ngúng': 1491,\n",
       " 'ngóng?': 1490,\n",
       " 'ngã': 1488,\n",
       " 'ngác': 1484,\n",
       " 'ngày.': 1483,\n",
       " 'ngàng': 1481,\n",
       " 'nghị': 1478,\n",
       " 'tráp': 1700,\n",
       " 'nghẹn': 1476,\n",
       " 'nghèo': 1475,\n",
       " 'nga…': 1472,\n",
       " 'ngay!': 1471,\n",
       " 'Đoạn': 1822,\n",
       " 'phượng': 1568,\n",
       " 'nếm': 1552,\n",
       " 'ngay': 1470,\n",
       " 'tỏa': 1743,\n",
       " 'nay?': 1467,\n",
       " 'nao...': 1466,\n",
       " 'oan': 1560,\n",
       " 'nanh': 1465,\n",
       " 'mỗi': 1462,\n",
       " 'sau:': 1622,\n",
       " 'mọt': 1459,\n",
       " 'mọi': 1458,\n",
       " 'mệt': 1457,\n",
       " 'mật': 1454,\n",
       " 'măt': 1451,\n",
       " 'óc': 1813,\n",
       " 'mùi': 1450,\n",
       " 'nóng': 1543,\n",
       " 'mõ': 1449,\n",
       " 'mòn': 1447,\n",
       " 'mãnh': 1446,\n",
       " 'mây?': 1445,\n",
       " 'máy': 1444,\n",
       " 'mát': 1443,\n",
       " 'muốt': 1440,\n",
       " 'ơn': 1887,\n",
       " 'ngạt': 1494,\n",
       " 'nguồn': 1480,\n",
       " 'minh:': 1437,\n",
       " 'lửng': 1432,\n",
       " 'lụa': 1430,\n",
       " 'lợi': 1429,\n",
       " 'lỡ': 1428,\n",
       " 'lỗi': 1424,\n",
       " 'lốtt': 1423,\n",
       " 'lốc': 1422,\n",
       " 'lịm': 1420,\n",
       " 'lặng...': 1417,\n",
       " 'đưa!': 1865,\n",
       " 'Ăn': 1819,\n",
       " 'lặn': 1416,\n",
       " 'lắng,': 1415,\n",
       " 'lẫn': 1411,\n",
       " 'lần': 1410,\n",
       " 'lại,': 1408,\n",
       " 'lạc': 1406,\n",
       " 'lương.': 1404,\n",
       " 'lũ': 1403,\n",
       " 'tạc': 1733,\n",
       " 'lăm': 1401,\n",
       " 'run': 1591,\n",
       " 'lút': 1400,\n",
       " 'lông': 1398,\n",
       " 'điện': 1848,\n",
       " 'lói': 1395,\n",
       " 'lãng': 1390,\n",
       " 'lánh': 1389,\n",
       " 'lá,': 1388,\n",
       " 'long': 1384,\n",
       " 'lau': 1379,\n",
       " 'la': 1377,\n",
       " 'ong': 1561,\n",
       " 'kỹ': 1376,\n",
       " 'nhỉ': 1529,\n",
       " 'ly': 1386,\n",
       " 'kệ': 1375,\n",
       " 'kết': 1373,\n",
       " 'kẻ': 1371,\n",
       " 'kín': 1370,\n",
       " 'kiếp': 1367,\n",
       " 'lứa': 1431,\n",
       " 'kinh...\"': 1365,\n",
       " 'khứ': 1364,\n",
       " 'khổ?': 1363,\n",
       " 'khỏi': 1361,\n",
       " 'khẽ': 1360,\n",
       " 'khẳng': 1359,\n",
       " 'ửng': 1906,\n",
       " 'khóm': 1353,\n",
       " 'loé': 1385,\n",
       " 'khóc': 1352,\n",
       " 'khu': 1348,\n",
       " 'khoa': 1346,\n",
       " 'khiết': 1345,\n",
       " 'khao': 1344,\n",
       " 'khai': 1343,\n",
       " 'in': 1342,\n",
       " 'hợt': 1339,\n",
       " 'hời': 1336,\n",
       " 'hổ': 1334,\n",
       " 'lòng.': 1393,\n",
       " 'hốt': 1332,\n",
       " 'hẳn': 1329,\n",
       " 'hải': 1328,\n",
       " 'hướng': 1327,\n",
       " 'hú': 1325,\n",
       " 'hôn.': 1324,\n",
       " 'hôm': 1323,\n",
       " 'đắm': 1873,\n",
       " 'vỡ!\"': 1782,\n",
       " 'huệ': 1319,\n",
       " 'hoàng': 1314,\n",
       " 'hong': 1313,\n",
       " 'khung': 1349,\n",
       " 'hoa,': 1311,\n",
       " 'ham': 1310,\n",
       " 'gục': 1309,\n",
       " 'gắng': 1305,\n",
       " 'kém': 1369,\n",
       " 'gẫy': 1303,\n",
       " 'thúc': 1675,\n",
       " 'gần': 1302,\n",
       " 'tím,': 1727,\n",
       " 'hững': 1340,\n",
       " 'gầm': 1301,\n",
       " 'tít': 1728,\n",
       " 'gương': 1300,\n",
       " 'Ủ': 1904,\n",
       " 'gũi': 1298,\n",
       " 'rượu': 1602,\n",
       " 'ngao': 1469,\n",
       " 'góp': 1296,\n",
       " 'gây': 1295,\n",
       " 'guốc': 1293,\n",
       " 'giụa': 1291,\n",
       " 'quánh!': 1577,\n",
       " 'giống': 1288,\n",
       " 'giọng': 1285,\n",
       " 'giải': 1283,\n",
       " 'giông': 1281,\n",
       " 'giãy': 1279,\n",
       " 'giáp': 1278,\n",
       " 'gieo': 1274,\n",
       " 'lảng': 1409,\n",
       " 'giam': 1273,\n",
       " 'eo': 1272,\n",
       " 'vênh': 1760,\n",
       " 'giỏ': 1287,\n",
       " 'dở': 1269,\n",
       " 'dột': 1268,\n",
       " 'dỗi': 1267,\n",
       " 'dốc': 1265,\n",
       " 'dệt': 1264,\n",
       " 'dế': 1263,\n",
       " 'dặt': 1262,\n",
       " 'dằng': 1261,\n",
       " 'dập': 1259,\n",
       " 'dạy': 1257,\n",
       " 'dạt': 1256,\n",
       " 'dương!': 1255,\n",
       " 'dương': 1254,\n",
       " 'dưng': 1253,\n",
       " 'dơi': 1252,\n",
       " 'giờ,': 1290,\n",
       " 'dùng': 1251,\n",
       " 'dù': 1250,\n",
       " 'dàn': 1248,\n",
       " 'dung': 1245,\n",
       " 'cựa': 1242,\n",
       " 'cứu': 1241,\n",
       " 'cố': 1236,\n",
       " 'cậu': 1234,\n",
       " 'cẩm': 1233,\n",
       " 'cải': 1232,\n",
       " 'dữ:': 1271,\n",
       " 'cả!': 1231,\n",
       " 'cạn': 1230,\n",
       " 'thua,': 1665,\n",
       " 'củi': 1240,\n",
       " 'cười:': 1229,\n",
       " 'lay': 1380,\n",
       " 'cũ': 1225,\n",
       " 'căn': 1224,\n",
       " 'cùng,': 1222,\n",
       " 'cò.': 1220,\n",
       " 'cò': 1219,\n",
       " 'cát': 1218,\n",
       " 'cày': 1217,\n",
       " 'con;': 1214,\n",
       " 'chứng': 1212,\n",
       " 'chợt?': 1211,\n",
       " 'chỗ': 1210,\n",
       " 'chịu': 1208,\n",
       " 'chậm': 1207,\n",
       " 'chất,': 1206,\n",
       " 'nhất?': 1523,\n",
       " 'chạnh': 1204,\n",
       " 'chạm': 1203,\n",
       " 'chăng': 1201,\n",
       " 'chùa': 1199,\n",
       " 'chí': 1198,\n",
       " 'chén': 1197,\n",
       " 'châu': 1196,\n",
       " 'cháy': 1195,\n",
       " 'Đám': 1825,\n",
       " 'chát': 1194,\n",
       " 'chuông': 1191,\n",
       " 'lẻ)': 1418,\n",
       " 'chuyếnh': 1190,\n",
       " 'năm,': 1547,\n",
       " 'chua': 1189,\n",
       " 'chiêm': 1187,\n",
       " 'chen': 1186,\n",
       " 'cương': 1227,\n",
       " 'cha': 1185,\n",
       " 'lê': 1391,\n",
       " 'bức': 1182,\n",
       " 'bụi': 1180,\n",
       " 'bỗng': 1179,\n",
       " 'bị': 1177,\n",
       " 'bỉnh': 1176,\n",
       " 'mai…': 1434,\n",
       " 'bệ': 1175,\n",
       " 'bắn': 1173,\n",
       " 'khẩu': 1357,\n",
       " 'bận': 1172,\n",
       " 'bảng': 1170,\n",
       " 'xao': 1785,\n",
       " 'bùn': 1167,\n",
       " 'bìa': 1166,\n",
       " 'báo': 1164,\n",
       " 'báng': 1163,\n",
       " 'bào': 1161,\n",
       " 'bàn': 1159,\n",
       " 'bài': 1157,\n",
       " 'buổi': 1155,\n",
       " 'bong': 1153,\n",
       " 'bạc,': 1169,\n",
       " 'biếu': 1152,\n",
       " 'lang': 1378,\n",
       " 'bi,': 1150,\n",
       " 'bay!': 1149,\n",
       " 'anh-': 1148,\n",
       " 'tóc...': 1729,\n",
       " 'Xô': 1146,\n",
       " 'Xác': 1145,\n",
       " 'gật': 1304,\n",
       " 'Xuôi': 1143,\n",
       " 'Xinh': 1142,\n",
       " 'tại”': 1735,\n",
       " 'Về,': 1139,\n",
       " 'đế': 1878,\n",
       " 'lùa': 1399,\n",
       " 'Về': 1138,\n",
       " 'Vấn': 1137,\n",
       " 'Vạn': 1136,\n",
       " 'Vườn': 1135,\n",
       " 'Văn': 1134,\n",
       " 'Vang': 1129,\n",
       " 'Vai': 1128,\n",
       " 'Tự': 1126,\n",
       " 'Tứ': 1124,\n",
       " 'Tịnh': 1122,\n",
       " 'gọi:': 1307,\n",
       " 'Tấm': 1121,\n",
       " 'Tên': 1116,\n",
       " 'Tây...': 1115,\n",
       " 'đau...': 1843,\n",
       " 'Táo': 1114,\n",
       " 'ngái': 1485,\n",
       " 'Tách': 1113,\n",
       " 'Tuổi': 1111,\n",
       " 'Trời': 1110,\n",
       " 'tuôn': 529,\n",
       " 'to': 522,\n",
       " 'trải': 1710,\n",
       " 'Chơi': 929,\n",
       " 'bụng': 1181,\n",
       " 'tin': 520,\n",
       " 'thử': 518,\n",
       " 'xuống': 231,\n",
       " 'bao': 29,\n",
       " 'kể': 261,\n",
       " 'Ở': 396,\n",
       " 'đạp': 1869,\n",
       " 'về': 23,\n",
       " 'quên': 506,\n",
       " 'soi': 219,\n",
       " 'Chung': 919,\n",
       " 'ngắt': 494,\n",
       " 'mành': 1441,\n",
       " 'minh': 482,\n",
       " 'lúc': 479,\n",
       " 'miền': 341,\n",
       " 'lìa': 478,\n",
       " 'Thấy': 608,\n",
       " 'Ngoẹo': 1040,\n",
       " 'khuôn': 1351,\n",
       " 'khó': 470,\n",
       " 'mù': 485,\n",
       " 'lung': 697,\n",
       " 'Hãm': 988,\n",
       " 'khép': 469,\n",
       " 'chung': 314,\n",
       " 'khác': 468,\n",
       " 'Chân': 922,\n",
       " 'hồn': 1333,\n",
       " 'sáng,': 772,\n",
       " 'hồ': 464,\n",
       " 'Hạt': 990,\n",
       " 'ngợi': 1503,\n",
       " 'vàng': 230,\n",
       " 've': 823,\n",
       " 'thẻ': 1684,\n",
       " 'số': 1640,\n",
       " 'cứng': 450,\n",
       " 'sách': 511,\n",
       " 'lò': 1392,\n",
       " 'mạnh': 487,\n",
       " 'chốn': 442,\n",
       " 'lệ': 711,\n",
       " 'thả': 792,\n",
       " '108': 887,\n",
       " 'xếp': 1802,\n",
       " 'khối': 1362,\n",
       " 'cảm': 448,\n",
       " 'Vốn': 1140,\n",
       " 'các': 445,\n",
       " 'vây': 1759,\n",
       " 'veo': 825,\n",
       " 'cuốn': 444,\n",
       " 'tìm': 531,\n",
       " 'nghi': 728,\n",
       " 'Diệu': 962,\n",
       " 'Thác': 1092,\n",
       " 'chơi': 438,\n",
       " 'ca': 433,\n",
       " 'cơm': 1226,\n",
       " 'bầu': 432,\n",
       " 'bom': 429,\n",
       " 'biến': 428,\n",
       " 'trụi': 1716,\n",
       " 'Từng': 425,\n",
       " 'Trăng': 424,\n",
       " 'Trận': 613,\n",
       " 'Thương': 422,\n",
       " 'Nghe': 240,\n",
       " 'nương': 1548,\n",
       " 'làng': 476,\n",
       " 'Rừng': 419,\n",
       " 'Nó': 416,\n",
       " 'ở!': 1903,\n",
       " 'Nào': 415,\n",
       " 'trầm': 374,\n",
       " 'hơn': 97,\n",
       " 'ào': 536,\n",
       " 'Ly': 411,\n",
       " 'thiệt': 1661,\n",
       " 'Luôn': 410,\n",
       " 'muộn': 484,\n",
       " 'nổi!': 1557,\n",
       " 'chim': 312,\n",
       " 'Đứng': 1841,\n",
       " 'Hoa': 408,\n",
       " 'Bạn': 400,\n",
       " 'sức': 512,\n",
       " 'gọi': 455,\n",
       " '\"Người': 397,\n",
       " 'nắng': 362,\n",
       " 'lệnh': 1419,\n",
       " 'bến': 1174,\n",
       " 'sẽ': 220,\n",
       " 'đôi': 394,\n",
       " 'đây': 393,\n",
       " 'Da': 959,\n",
       " 'nhiễm': 1508,\n",
       " 'ngộ': 1499,\n",
       " 'hát': 1322,\n",
       " 'Đôi': 389,\n",
       " 'vội': 835,\n",
       " 'ít': 387,\n",
       " 'Khi': 121,\n",
       " 'nàn': 741,\n",
       " 'Mỏng': 1033,\n",
       " 'chăn': 1200,\n",
       " 'xưa': 384,\n",
       " 'trận': 1711,\n",
       " 'nên': 360,\n",
       " 'xác': 383,\n",
       " 'na': 1463,\n",
       " 'ánh': 232,\n",
       " 'vùng': 380,\n",
       " 'Năm,': 1063,\n",
       " 'tận': 376,\n",
       " 'học': 463,\n",
       " 'xinh': 151,\n",
       " 'thân': 369,\n",
       " 'Thỉnh': 1099,\n",
       " 'xong)': 1789,\n",
       " 'kẽ': 1372,\n",
       " 'mỏi': 488,\n",
       " 'quen': 757,\n",
       " 'về,': 1774,\n",
       " 'phần': 365,\n",
       " 'ngờ': 1501,\n",
       " 'đà': 544,\n",
       " 'xót': 1797,\n",
       " 'xong': 838,\n",
       " 'nát': 359,\n",
       " 'nàng': 358,\n",
       " 'ước': 1892,\n",
       " 'ngập': 351,\n",
       " 'Đem': 850,\n",
       " 'nhân': 355,\n",
       " 'liệt': 695,\n",
       " 'rêu': 766,\n",
       " 'nghĩa': 348,\n",
       " 'họ': 334,\n",
       " 'rẽ': 767,\n",
       " 'mất': 344,\n",
       " 'trăm': 1702,\n",
       " 'bay': 78,\n",
       " 'giác': 1277,\n",
       " 'Đã': 114,\n",
       " 'xây': 1795,\n",
       " 'nuôi': 499,\n",
       " 'hàng': 462,\n",
       " 'muốn': 342,\n",
       " 'lấy': 339,\n",
       " 'vân': 1758,\n",
       " 'kia': 336,\n",
       " 'Vội': 1141,\n",
       " 'hoa': 39,\n",
       " 'đuổi': 1854,\n",
       " 'mặt...': 1456,\n",
       " 'hồi': 335,\n",
       " 'cục': 1238,\n",
       " 'hạ': 332,\n",
       " 'hay': 458,\n",
       " 'Ôm': 1807,\n",
       " 'nghiệp:': 1474,\n",
       " 'thổi': 370,\n",
       " 'lầm': 481,\n",
       " 'Biết': 399,\n",
       " 'chứa': 443,\n",
       " '\"Chồng': 878,\n",
       " 'Ngàn': 1043,\n",
       " 'không': 6,\n",
       " 'quan': 505,\n",
       " 'vai': 1752,\n",
       " 'thay': 781,\n",
       " 'tốt,': 1744,\n",
       " 'dừng': 1270,\n",
       " 'cúi': 323,\n",
       " 'Quên': 1075,\n",
       " 'đồng': 190,\n",
       " 'Cúng': 948,\n",
       " 'cháu': 315,\n",
       " 'che': 311,\n",
       " 'thề': 1685,\n",
       " 'nhốt': 1533,\n",
       " 'nhọc': 1531,\n",
       " 'sạch': 774,\n",
       " 'bằng': 308,\n",
       " 'ngon': 491,\n",
       " 'Họ': 994,\n",
       " 'bình': 305,\n",
       " 'vầng': 381,\n",
       " 'trăm,': 1703,\n",
       " 'Thì': 299,\n",
       " 'tã': 1724,\n",
       " '15': 555,\n",
       " 'cúng': 447,\n",
       " 'Thành': 298,\n",
       " 'hương': 98,\n",
       " 'đàn': 392,\n",
       " 'Thuyền': 297,\n",
       " 'linh.': 1382,\n",
       " 'Rồi': 296,\n",
       " 'dấu': 1258,\n",
       " 'Nhút': 1052,\n",
       " 'rõ': 1599,\n",
       " 'nguyện': 83,\n",
       " 'giật': 454,\n",
       " 'nhìn': 212,\n",
       " 'đánh': 857,\n",
       " 'Gió': 289,\n",
       " 'ròng': 509,\n",
       " 'Chuyện': 287,\n",
       " 'ơi': 285,\n",
       " 'đợi': 284,\n",
       " 'tắt': 377,\n",
       " 'cô': 248,\n",
       " 'lũng': 701,\n",
       " 'để': 283,\n",
       " 'ngủ': 353,\n",
       " 'cũng': 161,\n",
       " 'đổ': 395,\n",
       " 'đứt': 874,\n",
       " 'yên': 281,\n",
       " 'vươn': 1765,\n",
       " 'nhỏ': 356,\n",
       " 'buồn': 34,\n",
       " 'tà': 277,\n",
       " 'Lá': 579,\n",
       " 'hết': 333,\n",
       " 'trăng': 144,\n",
       " 'bãi': 627,\n",
       " 'thầm': 274,\n",
       " 'Thật': 1098,\n",
       " 'khôn': 1355,\n",
       " 'phúc': 270,\n",
       " 'năm': 267,\n",
       " 'chạy': 440,\n",
       " 'ngát': 1486,\n",
       " 'đỏ': 236,\n",
       " 'Hai': 290,\n",
       " 'sợ': 778,\n",
       " 'Thế': 423,\n",
       " 'khổ': 260,\n",
       " 'chút': 317,\n",
       " 'đáp': 858,\n",
       " 'âm': 538,\n",
       " 'chúng': 159,\n",
       " 'phiền': 363,\n",
       " 'Chuyến': 920,\n",
       " 'hiến': 673,\n",
       " 'vui': 148,\n",
       " 'đường': 118,\n",
       " 'Nguyện': 1042,\n",
       " 'Tiền': 1102,\n",
       " 'bầy': 1171,\n",
       " 'thế': 112,\n",
       " 'mèo': 108,\n",
       " 'Quá': 1073,\n",
       " 'vách': 827,\n",
       " 'già': 107,\n",
       " 'cung': 1215,\n",
       " 'gầy': 254,\n",
       " 'Đang': 1820,\n",
       " 'cao': 125,\n",
       " 'gia': 453,\n",
       " 'và': 57,\n",
       " 'Thôi': 1094,\n",
       " 'Sao': 105,\n",
       " 'tám': 811,\n",
       " 'dắt': 1260,\n",
       " 'ra': 140,\n",
       " 'giấc': 328,\n",
       " 'vẫn': 103,\n",
       " 'chiều': 126,\n",
       " 'Anh,': 286,\n",
       " 'thơ': 143,\n",
       " 'thắng': 517,\n",
       " 'sinh': 141,\n",
       " 'sự': 368,\n",
       " 'từng': 35,\n",
       " 'kiến': 1366,\n",
       " 'trong': 7,\n",
       " 'giới': 330,\n",
       " 'Còng': 947,\n",
       " 'vàn': 1756,\n",
       " 'trẻ': 226,\n",
       " 'Mộc': 294,\n",
       " 'kết:': 1374,\n",
       " 'tuổi': 145,\n",
       " 'bài,': 1158,\n",
       " 'núi': 213,\n",
       " 'gió': 31,\n",
       " 'nơi': 268,\n",
       " '<eol>': 4,\n",
       " 'Vượt': 426,\n",
       " 'chín': 200,\n",
       " 'rồi,': 1611,\n",
       " 'giạt': 670,\n",
       " 'nhẫn': 1524,\n",
       " 'Người': 51,\n",
       " 'nhật': 1525,\n",
       " 'ba': 124,\n",
       " 'nhắc': 1526,\n",
       " 'tròn': 371,\n",
       " 'Là': 89,\n",
       " 'ông': 233,\n",
       " 'Miệng': 1023,\n",
       " 'phẳng': 1569,\n",
       " 'áo': 187,\n",
       " 'nhau': 136,\n",
       " 'đủ': 1886,\n",
       " 'Bỗng': 560,\n",
       " 'tái': 1721,\n",
       " 'rừng': 48,\n",
       " 'mong': 263,\n",
       " 'đối': 872,\n",
       " 'sóng': 85,\n",
       " 'âu': 848,\n",
       " 'Thôi,': 1095,\n",
       " 'chồm': 1209,\n",
       " 'biết': 93,\n",
       " 'vô': 186,\n",
       " 'Vẫn': 618,\n",
       " 'miệng': 1438,\n",
       " 'lót': 1397,\n",
       " 'qua': 84,\n",
       " 'nhập': 737,\n",
       " 'vốn': 1779,\n",
       " 'hy': 461,\n",
       " 'đâu,': 1858,\n",
       " '9': 398,\n",
       " 'Năm': 417,\n",
       " 'gấp': 672,\n",
       " 'Như': 76,\n",
       " 'Cuộc': 940,\n",
       " 'Nay': 1037,\n",
       " 'vật!': 1771,\n",
       " 'Tôi': 91,\n",
       " 'vật': 533,\n",
       " 'Bao': 73,\n",
       " 'sâu': 177,\n",
       " 'sào': 1630,\n",
       " 'hun': 1317,\n",
       " 'cho': 38,\n",
       " 'trở': 185,\n",
       " 'dại': 252,\n",
       " 'tôi': 22,\n",
       " 'phù': 754,\n",
       " '130': 894,\n",
       " 'đống': 1880,\n",
       " 'Lau': 1008,\n",
       " 'Xui': 427,\n",
       " 'đang': 71,\n",
       " 'vất': 1770,\n",
       " '<eos>': 3,\n",
       " 'khi': 26,\n",
       " 'le': 1381,\n",
       " 'cánh': 247,\n",
       " 'Phần': 596,\n",
       " 'tóc': 375,\n",
       " 'đầu': 32,\n",
       " 'xong,': 1790,\n",
       " 'Ngưng': 1045,\n",
       " 'duy': 1246,\n",
       " 'Đêm': 540,\n",
       " 'Từ': 196,\n",
       " 'mặt': 82,\n",
       " 'Mười': 1028,\n",
       " 'mơ...': 1452,\n",
       " '<unk>': 0,\n",
       " 'kinh': 166,\n",
       " 'chặt': 647,\n",
       " 'tĩnh': 813,\n",
       " 'sữa': 1646,\n",
       " '126': 891,\n",
       " 'trĩu': 1705,\n",
       " '50': 895,\n",
       " 'trời': 16,\n",
       " 'Hai,': 980,\n",
       " 'thơm': 182,\n",
       " 'mày': 264,\n",
       " 'thẳm': 1682,\n",
       " 'Tình': 123,\n",
       " 'bóng': 65,\n",
       " 'dưới': 251,\n",
       " 'đất': 119,\n",
       " 'bên': 64,\n",
       " 'thiết': 271,\n",
       " 'vừa': 382,\n",
       " 'chư': 1202,\n",
       " 'yêu,': 535,\n",
       " 'một': 10,\n",
       " 'mênh': 718,\n",
       " '\"Lạc': 880,\n",
       " 'Để': 188,\n",
       " 'im': 1341,\n",
       " 'con,': 649,\n",
       " 'giục': 1292,\n",
       " 'Trong': 63,\n",
       " 'bất': 307,\n",
       " 'cần': 324,\n",
       " 'chị': 319,\n",
       " 'Nghĩ': 1038,\n",
       " 'vị': 1776,\n",
       " 'khoảng': 465,\n",
       " 'Nắng': 1064,\n",
       " 'Mà': 62,\n",
       " 'vắng': 534,\n",
       " 'công': 655,\n",
       " 'muôn': 483,\n",
       " 'mình': 12,\n",
       " 'em': 18,\n",
       " 'Khơi': 577,\n",
       " 'nhu': 1510,\n",
       " 'mơ': 486,\n",
       " 'tim': 519,\n",
       " 'gian': 206,\n",
       " 'trang': 523,\n",
       " 'chưa': 439,\n",
       " 'Chùm': 928,\n",
       " 'mắt': 40,\n",
       " 'ở': 37,\n",
       " 'Xông': 1147,\n",
       " 'tiễn': 799,\n",
       " 'Dâng': 405,\n",
       " 'những': 28,\n",
       " 'nhớ': 138,\n",
       " 'mọc': 345,\n",
       " 'muối': 1439,\n",
       " 'lóng': 1396,\n",
       " 'trên': 113,\n",
       " 'Các': 564,\n",
       " 'Bố': 914,\n",
       " 'tuyết': 809,\n",
       " 'nai': 1464,\n",
       " 'xuân': 152,\n",
       " 'giữa': 331,\n",
       " 'ngại': 735,\n",
       " 'Anh': 45,\n",
       " 'Hang': 981,\n",
       " 'nguẩy': 1479,\n",
       " 'huyễn,': 1318,\n",
       " 'anh': 21,\n",
       " 'hang': 457,\n",
       " 'dậy': 327,\n",
       " 'sáng': 176,\n",
       " 'Vàng': 616,\n",
       " 'trần': 527,\n",
       " 'ta': 19,\n",
       " 'may': 1436,\n",
       " 'việc': 378,\n",
       " 'niệm': 498,\n",
       " 'mộng': 346,\n",
       " 'mê': 343,\n",
       " 'Cành': 941,\n",
       " 'thơ!': 1676,\n",
       " 'Và': 197,\n",
       " 'Dạo': 567,\n",
       " 'trái': 276,\n",
       " 'Ngày': 241,\n",
       " 'người': 5,\n",
       " 'Quân': 195,\n",
       " 'Đột': 1837,\n",
       " 'lý': 480,\n",
       " 'nhẹ': 738,\n",
       " 'Trỗi': 1109,\n",
       " 'giận': 165,\n",
       " 'này….': 1537,\n",
       " 'sao': 101,\n",
       " 'Bác': 905,\n",
       " 'ô': 1814,\n",
       " 'Lưng': 1013,\n",
       " 'do': 205,\n",
       " 'bừng': 310,\n",
       " 'cổ': 250,\n",
       " 'Mang': 582,\n",
       " 'phòng': 503,\n",
       " 'trắng': 528,\n",
       " 'rọi': 1609,\n",
       " 'Chính': 562,\n",
       " 'Mới': 587,\n",
       " 'rơi': 173,\n",
       " 'rực': 366,\n",
       " 'đầy': 154,\n",
       " 'giổ': 1289,\n",
       " 'được': 59,\n",
       " 'tinh': 521,\n",
       " 'Còn': 156,\n",
       " 'hoánh': 1315,\n",
       " 'cây': 66,\n",
       " 'nở': 502,\n",
       " 'Của': 957,\n",
       " 'khơi': 471,\n",
       " 'hoài': 676,\n",
       " ...}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def yield_tokens(df):\n",
    "  for i in df['content'].index:\n",
    "    yield df['content'][i].split()\n",
    "\n",
    "vocab = build_vocab_from_iterator(\n",
    "    yield_tokens(poem_df),\n",
    "    specials=['<unk>', '<pad>', '<sos>', '<eos>', '<eol>']\n",
    ")\n",
    "vocab.set_default_index(vocab['<unk>'])\n",
    "vocab.get_stoi()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "executionInfo": {
     "elapsed": 347,
     "status": "ok",
     "timestamp": 1731005270536,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "kE_UiIDUiql7"
   },
   "outputs": [],
   "source": [
    "max_seq_len = 25\n",
    "def pad_truncate(input_ids,max_seq_len):\n",
    "  if len(input_ids) > max_seq_len:\n",
    "    input_ids = input_ids[:max_seq_len]\n",
    "  else:\n",
    "    input_ids = input_ids + [vocab['<pad>']] * (max_seq_len - len(input_ids))\n",
    "  return input_ids\n",
    "\n",
    "def vectorize(text,max_seq_len): #tạo 1 vector số\n",
    "  input_ids = [vocab[i] for i in text.split()]\n",
    "  input_ids = pad_truncate(input_ids,max_seq_len)\n",
    "  return input_ids\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 423,
     "status": "ok",
     "timestamp": 1730042567920,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "EkHdCOoqkRZg",
    "outputId": "83f2f685-a59c-4d86-f0f2-3d078e7854aa"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bạn xấu như chiếc bóng\n",
      "[400, 1801, 27, 313, 65, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]\n"
     ]
    }
   ],
   "source": [
    "#vidu\n",
    "print(poem_df['content'][0].split('\\n')[0])\n",
    "print(vectorize(poem_df['content'][0].split('\\n')[0],max_seq_len))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "61fhIHjUkubS"
   },
   "source": [
    "credate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "executionInfo": {
     "elapsed": 471,
     "status": "ok",
     "timestamp": 1731005294351,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "d8T1HX6v85Rb"
   },
   "outputs": [],
   "source": [
    "def tokenizer( text):\n",
    "        return text.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "executionInfo": {
     "elapsed": 376,
     "status": "ok",
     "timestamp": 1731005296443,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "wUoLwE2RwozE"
   },
   "outputs": [],
   "source": [
    "class PoemDataset(Dataset):\n",
    "    def __init__(self, df, tokenizer, vectorizer, max_seq_len):\n",
    "        self.tokenizer = tokenizer\n",
    "        self.vectorizer = vectorizer\n",
    "        self.max_seq_len = max_seq_len\n",
    "        self.input_seqs, self.target_seqs, self.padding_masks = self.create_samples(df)\n",
    "\n",
    "    def create_padding_mask(self, input_ids, pad_token_id=vocab['<pad>']):\n",
    "        return [0 if token_id == pad_token_id else 1 for token_id in input_ids]\n",
    "\n",
    "    def tokenizer(self, text):\n",
    "        return text.split()\n",
    "\n",
    "    def split_content(self, content):\n",
    "        samples = []\n",
    "\n",
    "        poem_parts = content.split('\\n\\n')\n",
    "        for poem_part in poem_parts:\n",
    "            poem_in_lines = poem_part.split('\\n')\n",
    "            if len(poem_in_lines) == 4:\n",
    "                samples.append(poem_in_lines)\n",
    "\n",
    "        return samples\n",
    "\n",
    "    def prepare_sample(self, sample):\n",
    "        input_seqs = []\n",
    "        target_seqs = []\n",
    "        padding_masks = []\n",
    "\n",
    "        input_text = '<sos> ' + ' <eol> '.join(sample) + ' <eol> <eos>'\n",
    "        input_ids = self.tokenizer(input_text)\n",
    "        for idx in range(1, len(input_ids)):\n",
    "            input_seq = ' '.join(input_ids[:idx])\n",
    "            target_seq = ' '.join(input_ids[1:idx+1])\n",
    "            input_seq = self.vectorizer(input_seq, self.max_seq_len)\n",
    "            target_seq = self.vectorizer(target_seq, self.max_seq_len)\n",
    "            padding_mask = self.create_padding_mask(input_seq)\n",
    "\n",
    "            input_seqs.append(input_seq)\n",
    "            target_seqs.append(target_seq)\n",
    "            padding_masks.append(padding_mask)\n",
    "\n",
    "        return input_seqs, target_seqs, padding_masks\n",
    "\n",
    "    def create_samples(self, df):\n",
    "        input_seqs = []\n",
    "        target_words = []\n",
    "        padding_masks = []\n",
    "\n",
    "        for idx, row in df.iterrows():\n",
    "            content = row['content']\n",
    "            samples = self.split_content(content)\n",
    "            for sample in samples:\n",
    "                sample_input_seqs, sample_target_words, sample_padding_masks = self.prepare_sample(sample)\n",
    "\n",
    "                input_seqs += sample_input_seqs\n",
    "                target_words += sample_target_words\n",
    "                padding_masks += sample_padding_masks\n",
    "\n",
    "        input_seqs = torch.tensor(input_seqs, dtype=torch.long)\n",
    "        target_words = torch.tensor(target_words, dtype=torch.long)\n",
    "        padding_masks = torch.tensor(padding_masks, dtype=torch.float)\n",
    "\n",
    "        return input_seqs, target_words, padding_masks\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.input_seqs)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        input_seqs = self.input_seqs[idx]\n",
    "        target_seqs = self.target_seqs[idx]\n",
    "        padding_masks = self.padding_masks[idx]\n",
    "\n",
    "        return input_seqs, target_seqs, padding_masks\n",
    "\n",
    "TRAIN_BS = 256\n",
    "train_dataset = PoemDataset(\n",
    "    df=poem_df,\n",
    "    tokenizer=tokenizer,\n",
    "    vectorizer=vectorize,\n",
    "    max_seq_len=25\n",
    ")\n",
    "train_loader = DataLoader(\n",
    "    train_dataset,\n",
    "    batch_size=TRAIN_BS,\n",
    "    shuffle=False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 482,
     "status": "ok",
     "timestamp": 1731005300589,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "753szawAySx1",
    "outputId": "3af4fe04-fe49-46f0-f3af-7fbb8d8a8b8d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
      "        1])\n",
      "tensor([400,   1,   1,   1,   1,   1,   1,   1,   1,   1,   1,   1,   1,   1,\n",
      "          1,   1,   1,   1,   1,   1,   1,   1,   1,   1,   1])\n",
      "tensor([1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
      "        0., 0., 0., 0., 0., 0., 0.])\n"
     ]
    }
   ],
   "source": [
    "input_seqs, target_seqs, padding_masks = next(iter(train_loader))\n",
    "\n",
    "print(input_seqs[0])\n",
    "print(target_seqs[0])\n",
    "print(padding_masks[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "executionInfo": {
     "elapsed": 501,
     "status": "ok",
     "timestamp": 1731005304120,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "unh00wFAqTzZ"
   },
   "outputs": [],
   "source": [
    "import math\n",
    "class PositionalEncoding(nn.Module):\n",
    "    def __init__(self, embedding_dims, dropout=0.1, max_len=5000):\n",
    "        super(PositionalEncoding, self).__init__()\n",
    "        self.dropout = nn.Dropout(p=dropout)\n",
    "\n",
    "        position = torch.arange(max_len).unsqueeze(1)\n",
    "        div_term = torch.exp(torch.arange(0, embedding_dims, 2) * (-math.log(10000.0) / embedding_dims))\n",
    "        pe = torch.zeros(max_len, 1, embedding_dims)\n",
    "        pe[:, 0, 0::2] = torch.sin(position * div_term)\n",
    "        pe[:, 0, 1::2] = torch.cos(position * div_term)\n",
    "        self.register_buffer('pe', pe)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = x + self.pe[:x.size(0)]\n",
    "        x = self.dropout(x)\n",
    "\n",
    "        return x\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 385,
     "status": "ok",
     "timestamp": 1730046192274,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "MDkfpuDRsD40",
    "outputId": "901625a1-ee54-42fb-d129-0803cf394720"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "tVCArS3lrmpm"
   },
   "outputs": [],
   "source": [
    "class TransformerModel(nn.Module):\n",
    "    def __init__(self,vocab_size,embedding_dims,n_heads,hidden_dims,n_layers,dropout=0.5):\n",
    "        super(TransformerModel, self).__init__()\n",
    "        self.model_type = 'Transformer'\n",
    "        self.embedding = nn.Embedding(vocab_size, embedding_dims)\n",
    "        self.embedding_dims = embedding_dims\n",
    "\n",
    "        self.pos_encoder = PositionalEncoding(embedding_dims, dropout)\n",
    "        encoder_layers = nn.TransformerEncoderLayer(\n",
    "            embedding_dims,\n",
    "            n_heads,\n",
    "            hidden_dims,\n",
    "            dropout\n",
    "        )\n",
    "        self.transformer_encoder = nn.TransformerEncoder(encoder_layers, n_layers)\n",
    "        self.linear = nn.Linear(embedding_dims, vocab_size)\n",
    "\n",
    "        self.init_weights()\n",
    "\n",
    "    def init_weights(self):\n",
    "        initrange = 0.1\n",
    "        self.embedding.weight.data.uniform_(-initrange, initrange)\n",
    "        self.linear.bias.data.zero_()\n",
    "        self.linear.weight.data.uniform_(-initrange, initrange)\n",
    "\n",
    "    def forward(self, src, src_mask=None, padding_mask=None):\n",
    "        src = self.embedding(src) * math.sqrt(self.embedding_dims)\n",
    "        src = self.pos_encoder(src)\n",
    "        if src_mask is None:\n",
    "            src_mask = nn.Transformer.generate_square_subsequent_mask(len(src)).to(device)\n",
    "        output = self.transformer_encoder(src, mask=src_mask, src_key_padding_mask=padding_mask)\n",
    "        output = self.linear(output)\n",
    "\n",
    "        return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 368,
     "status": "ok",
     "timestamp": 1730046918545,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "O73_85s4ymTJ",
    "outputId": "09ecfb7c-5570-4304-9364-ea68dbb256c4"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 10, 1911])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/transformer.py:282: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)\n",
      "  warnings.warn(f\"enable_nested_tensor is True, but self.use_nested_tensor is False because {why_not_sparsity_fast_path}\")\n"
     ]
    }
   ],
   "source": [
    "VOCAB_SIZE = len(vocab)\n",
    "EMBEDDING_DIMS = 128\n",
    "HIDDEN_DIMS = 128\n",
    "N_LAYERS = 2\n",
    "N_HEADS = 4\n",
    "DROPOUT = 0.2\n",
    "\n",
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "input_tests = torch.randint(1, 10, (1, 10)).to(device)\n",
    "\n",
    "model = TransformerModel(\n",
    "    VOCAB_SIZE,\n",
    "    EMBEDDING_DIMS,\n",
    "    N_HEADS,\n",
    "    HIDDEN_DIMS,\n",
    "    N_LAYERS,\n",
    "    DROPOUT\n",
    ").to(device)\n",
    "\n",
    "with torch.no_grad():\n",
    "    output = model(input_tests)\n",
    "    print(output.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WTt6UzVb0wJg"
   },
   "outputs": [],
   "source": [
    "LR = 5.0\n",
    "EPOCHS = 300\n",
    "\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=LR)\n",
    "scheduler = torch.optim.lr_scheduler.StepLR(optimizer, 1, gamma=0.95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 130582,
     "status": "ok",
     "timestamp": 1730047070374,
     "user": {
      "displayName": "Trần Đức Tài",
      "userId": "08288964470148332460"
     },
     "user_tz": -420
    },
    "id": "hDI8ZKz901Oa",
    "outputId": "4d38a83a-976d-4d61-928e-41882207a66e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EPOCH 1\tLoss 5.7953921386173795\n",
      "EPOCH 2\tLoss 4.574901978174846\n",
      "EPOCH 3\tLoss 3.6642628397260393\n",
      "EPOCH 4\tLoss 3.4049776168096635\n",
      "EPOCH 5\tLoss 3.2040089198521207\n",
      "EPOCH 6\tLoss 2.903097538720994\n",
      "EPOCH 7\tLoss 2.719652987661816\n",
      "EPOCH 8\tLoss 2.3300970650854564\n",
      "EPOCH 9\tLoss 2.003921395256406\n",
      "EPOCH 10\tLoss 1.7140898534229823\n",
      "EPOCH 11\tLoss 1.4835909605026245\n",
      "EPOCH 12\tLoss 1.2645536320550101\n",
      "EPOCH 13\tLoss 1.0857783073470706\n",
      "EPOCH 14\tLoss 0.9560765198298863\n",
      "EPOCH 15\tLoss 0.8661342092922756\n",
      "EPOCH 16\tLoss 0.7920484060332889\n",
      "EPOCH 17\tLoss 0.7270883946191697\n",
      "EPOCH 18\tLoss 0.6890914780752999\n",
      "EPOCH 19\tLoss 0.6450830101966858\n",
      "EPOCH 20\tLoss 0.621179400455384\n",
      "EPOCH 21\tLoss 0.5929353464217413\n",
      "EPOCH 22\tLoss 0.566089711018971\n",
      "EPOCH 23\tLoss 0.5462948552199772\n",
      "EPOCH 24\tLoss 0.5374074493135724\n",
      "EPOCH 25\tLoss 0.5118279201643807\n",
      "EPOCH 26\tLoss 0.49225802080971853\n",
      "EPOCH 27\tLoss 0.47953171389443533\n",
      "EPOCH 28\tLoss 0.4663892913432348\n",
      "EPOCH 29\tLoss 0.4583238207158588\n",
      "EPOCH 30\tLoss 0.44457888177462984\n",
      "EPOCH 31\tLoss 0.4359405892235892\n",
      "EPOCH 32\tLoss 0.42512564006305875\n",
      "EPOCH 33\tLoss 0.4147573354698363\n",
      "EPOCH 34\tLoss 0.40890567501386005\n",
      "EPOCH 35\tLoss 0.39873894055684406\n",
      "EPOCH 36\tLoss 0.3913643573011671\n",
      "EPOCH 37\tLoss 0.3845658004283905\n",
      "EPOCH 38\tLoss 0.37989256921268644\n",
      "EPOCH 39\tLoss 0.3750934714362735\n",
      "EPOCH 40\tLoss 0.37010983909879414\n",
      "EPOCH 41\tLoss 0.36765855125018526\n",
      "EPOCH 42\tLoss 0.3660966938450223\n",
      "EPOCH 43\tLoss 0.36345296672412325\n",
      "EPOCH 44\tLoss 0.3587648492483866\n",
      "EPOCH 45\tLoss 0.3536222456466584\n",
      "EPOCH 46\tLoss 0.3514113546836944\n",
      "EPOCH 47\tLoss 0.3457144924572536\n",
      "EPOCH 48\tLoss 0.3476793723446982\n",
      "EPOCH 49\tLoss 0.34333692491054535\n",
      "EPOCH 50\tLoss 0.3448681746210371\n",
      "EPOCH 51\tLoss 0.3449610954239255\n",
      "EPOCH 52\tLoss 0.34481129121212734\n",
      "EPOCH 53\tLoss 0.3439075890041533\n",
      "EPOCH 54\tLoss 0.34507925666513894\n",
      "EPOCH 55\tLoss 0.345140597649983\n",
      "EPOCH 56\tLoss 0.34354341172036673\n",
      "EPOCH 57\tLoss 0.3430497610852832\n",
      "EPOCH 58\tLoss 0.34158699711163837\n",
      "EPOCH 59\tLoss 0.34087449454125907\n",
      "EPOCH 60\tLoss 0.3444247040010634\n",
      "EPOCH 61\tLoss 0.34546189932596116\n",
      "EPOCH 62\tLoss 0.3453803062438965\n",
      "EPOCH 63\tLoss 0.34600421431518735\n",
      "EPOCH 64\tLoss 0.34716403555302394\n",
      "EPOCH 65\tLoss 0.34887107000464485\n",
      "EPOCH 66\tLoss 0.34781243545668467\n",
      "EPOCH 67\tLoss 0.34664441361313775\n",
      "EPOCH 68\tLoss 0.35054779336566017\n",
      "EPOCH 69\tLoss 0.3500175887630099\n",
      "EPOCH 70\tLoss 0.3497748126586278\n",
      "EPOCH 71\tLoss 0.3488135898397082\n",
      "EPOCH 72\tLoss 0.35160010698295774\n",
      "EPOCH 73\tLoss 0.34983323017756146\n",
      "EPOCH 74\tLoss 0.3494760181222643\n",
      "EPOCH 75\tLoss 0.3500593595561527\n",
      "EPOCH 76\tLoss 0.34848175730024067\n",
      "EPOCH 77\tLoss 0.3464635752496265\n",
      "EPOCH 78\tLoss 0.34843303192229497\n",
      "EPOCH 79\tLoss 0.3462522881371634\n",
      "EPOCH 80\tLoss 0.34739103132770177\n",
      "EPOCH 81\tLoss 0.3432503952866509\n",
      "EPOCH 82\tLoss 0.343109843986375\n",
      "EPOCH 83\tLoss 0.3449993644441877\n",
      "EPOCH 84\tLoss 0.3401398765189307\n",
      "EPOCH 85\tLoss 0.3417599236681348\n",
      "EPOCH 86\tLoss 0.34111074606577557\n",
      "EPOCH 87\tLoss 0.3402694563070933\n",
      "EPOCH 88\tLoss 0.33686803707054686\n",
      "EPOCH 89\tLoss 0.33848124671550023\n",
      "EPOCH 90\tLoss 0.33745313187440235\n",
      "EPOCH 91\tLoss 0.3359084420260929\n",
      "EPOCH 92\tLoss 0.3375039029689062\n",
      "EPOCH 93\tLoss 0.33758037147067843\n",
      "EPOCH 94\tLoss 0.33515327601205736\n",
      "EPOCH 95\tLoss 0.3356873733656747\n",
      "EPOCH 96\tLoss 0.3339990448384058\n",
      "EPOCH 97\tLoss 0.3340534475587663\n",
      "EPOCH 98\tLoss 0.33494390547275543\n",
      "EPOCH 99\tLoss 0.3339875872646059\n",
      "EPOCH 100\tLoss 0.333772259808722\n",
      "EPOCH 101\tLoss 0.333526543208531\n",
      "EPOCH 102\tLoss 0.3332097856771378\n",
      "EPOCH 103\tLoss 0.3329143325487773\n",
      "EPOCH 104\tLoss 0.3330552258661815\n",
      "EPOCH 105\tLoss 0.3320533973830087\n",
      "EPOCH 106\tLoss 0.33227841272240594\n",
      "EPOCH 107\tLoss 0.3299513707558314\n",
      "EPOCH 108\tLoss 0.3303937294653484\n",
      "EPOCH 109\tLoss 0.3303044346116838\n",
      "EPOCH 110\tLoss 0.3302759478489558\n",
      "EPOCH 111\tLoss 0.3288787078289759\n",
      "EPOCH 112\tLoss 0.3297454700583503\n",
      "EPOCH 113\tLoss 0.33073401309195016\n",
      "EPOCH 114\tLoss 0.32848697404066723\n",
      "EPOCH 115\tLoss 0.3319124948410761\n",
      "EPOCH 116\tLoss 0.32967203287851243\n",
      "EPOCH 117\tLoss 0.3283149912243798\n",
      "EPOCH 118\tLoss 0.3295267458472933\n",
      "EPOCH 119\tLoss 0.3297922753152393\n",
      "EPOCH 120\tLoss 0.329225066162291\n",
      "EPOCH 121\tLoss 0.3294041958593187\n",
      "EPOCH 122\tLoss 0.3290994422776358\n",
      "EPOCH 123\tLoss 0.32789415688741774\n",
      "EPOCH 124\tLoss 0.32801757823853267\n",
      "EPOCH 125\tLoss 0.3295930524667104\n",
      "EPOCH 126\tLoss 0.3267743332045419\n",
      "EPOCH 127\tLoss 0.3280748703650066\n",
      "EPOCH 128\tLoss 0.328174535717283\n",
      "EPOCH 129\tLoss 0.32904909551143646\n",
      "EPOCH 130\tLoss 0.328812280581111\n",
      "EPOCH 131\tLoss 0.32982740090006873\n",
      "EPOCH 132\tLoss 0.32672599809510366\n",
      "EPOCH 133\tLoss 0.32861838880039396\n",
      "EPOCH 134\tLoss 0.32725116326695397\n",
      "EPOCH 135\tLoss 0.3281269470850627\n",
      "EPOCH 136\tLoss 0.32794137795766193\n",
      "EPOCH 137\tLoss 0.3274533897638321\n",
      "EPOCH 138\tLoss 0.3270919308775947\n",
      "EPOCH 139\tLoss 0.32696913182735443\n",
      "EPOCH 140\tLoss 0.3276119551488331\n",
      "EPOCH 141\tLoss 0.3263964908463614\n",
      "EPOCH 142\tLoss 0.3272158659639813\n",
      "EPOCH 143\tLoss 0.3266537075950986\n",
      "EPOCH 144\tLoss 0.32488964923790525\n",
      "EPOCH 145\tLoss 0.32539949601604823\n",
      "EPOCH 146\tLoss 0.32755574725923087\n",
      "EPOCH 147\tLoss 0.32611040700049626\n",
      "EPOCH 148\tLoss 0.3272779498781477\n",
      "EPOCH 149\tLoss 0.3291868581658318\n",
      "EPOCH 150\tLoss 0.3276525962920416\n",
      "EPOCH 151\tLoss 0.3285415541558039\n",
      "EPOCH 152\tLoss 0.3262803093308494\n",
      "EPOCH 153\tLoss 0.32756800878615605\n",
      "EPOCH 154\tLoss 0.3266697164092745\n",
      "EPOCH 155\tLoss 0.3245805792865299\n",
      "EPOCH 156\tLoss 0.32623874715396334\n",
      "EPOCH 157\tLoss 0.3259944184905007\n",
      "EPOCH 158\tLoss 0.3280544380346934\n",
      "EPOCH 159\tLoss 0.32751835102126714\n",
      "EPOCH 160\tLoss 0.3269291782662982\n",
      "EPOCH 161\tLoss 0.32543223315761205\n",
      "EPOCH 162\tLoss 0.32519427509534926\n",
      "EPOCH 163\tLoss 0.3262168509619577\n",
      "EPOCH 164\tLoss 0.3242050345454897\n",
      "EPOCH 165\tLoss 0.3262480234815961\n",
      "EPOCH 166\tLoss 0.32601410150527954\n",
      "EPOCH 167\tLoss 0.3278778614032836\n",
      "EPOCH 168\tLoss 0.32632321686971755\n",
      "EPOCH 169\tLoss 0.32552560951028553\n",
      "EPOCH 170\tLoss 0.32805212551639196\n",
      "EPOCH 171\tLoss 0.32527710284505573\n",
      "EPOCH 172\tLoss 0.32590181274073465\n",
      "EPOCH 173\tLoss 0.3253156060264224\n",
      "EPOCH 174\tLoss 0.327485774244581\n",
      "EPOCH 175\tLoss 0.3252173179671878\n",
      "EPOCH 176\tLoss 0.32795271632217227\n",
      "EPOCH 177\tLoss 0.32527507770629155\n",
      "EPOCH 178\tLoss 0.32559488855657126\n",
      "EPOCH 179\tLoss 0.32595510355063845\n",
      "EPOCH 180\tLoss 0.3267171489340918\n",
      "EPOCH 181\tLoss 0.3270983220565887\n",
      "EPOCH 182\tLoss 0.3272972412052609\n",
      "EPOCH 183\tLoss 0.326432880901155\n",
      "EPOCH 184\tLoss 0.32591263736997333\n",
      "EPOCH 185\tLoss 0.3253052674588703\n",
      "EPOCH 186\tLoss 0.3293904484737487\n",
      "EPOCH 187\tLoss 0.3255419787906465\n",
      "EPOCH 188\tLoss 0.3252277941930862\n",
      "EPOCH 189\tLoss 0.32656839064189364\n",
      "EPOCH 190\tLoss 0.32684128483136493\n",
      "EPOCH 191\tLoss 0.32568487383070444\n",
      "EPOCH 192\tLoss 0.32568681098165964\n",
      "EPOCH 193\tLoss 0.32845092032636913\n",
      "EPOCH 194\tLoss 0.32558344304561615\n",
      "EPOCH 195\tLoss 0.3253314367362431\n",
      "EPOCH 196\tLoss 0.32518434666451956\n",
      "EPOCH 197\tLoss 0.32742526701518465\n",
      "EPOCH 198\tLoss 0.32558916934898924\n",
      "EPOCH 199\tLoss 0.32692728227093104\n",
      "EPOCH 200\tLoss 0.3262510746717453\n",
      "EPOCH 201\tLoss 0.32773851780664354\n",
      "EPOCH 202\tLoss 0.3279476563135783\n",
      "EPOCH 203\tLoss 0.3267763150589807\n",
      "EPOCH 204\tLoss 0.3253525928372428\n",
      "EPOCH 205\tLoss 0.3262358804543813\n",
      "EPOCH 206\tLoss 0.32674153291043784\n",
      "EPOCH 207\tLoss 0.3265255171628225\n",
      "EPOCH 208\tLoss 0.3256297296001798\n",
      "EPOCH 209\tLoss 0.32500862223761423\n",
      "EPOCH 210\tLoss 0.3277506289027986\n",
      "EPOCH 211\tLoss 0.32902287372520994\n",
      "EPOCH 212\tLoss 0.3257399641332172\n",
      "EPOCH 213\tLoss 0.32863482407161165\n",
      "EPOCH 214\tLoss 0.3290935910883404\n",
      "EPOCH 215\tLoss 0.3244542408557165\n",
      "EPOCH 216\tLoss 0.3265666010833922\n",
      "EPOCH 217\tLoss 0.3235620196376528\n",
      "EPOCH 218\tLoss 0.32548475407418753\n",
      "EPOCH 219\tLoss 0.3257643821693602\n",
      "EPOCH 220\tLoss 0.32518183404491063\n",
      "EPOCH 221\tLoss 0.32637232896827517\n",
      "EPOCH 222\tLoss 0.32587901609284536\n",
      "EPOCH 223\tLoss 0.3264266103506088\n",
      "EPOCH 224\tLoss 0.3253377548285893\n",
      "EPOCH 225\tLoss 0.32594652970631915\n",
      "EPOCH 226\tLoss 0.3277274448247183\n",
      "EPOCH 227\tLoss 0.32783134352593196\n",
      "EPOCH 228\tLoss 0.327651912967364\n",
      "EPOCH 229\tLoss 0.3279104566290265\n",
      "EPOCH 230\tLoss 0.32756984375772025\n",
      "EPOCH 231\tLoss 0.32627423675287337\n",
      "EPOCH 232\tLoss 0.3244611422220866\n",
      "EPOCH 233\tLoss 0.3264463891585668\n",
      "EPOCH 234\tLoss 0.32712062909489587\n",
      "EPOCH 235\tLoss 0.3270697316953114\n",
      "EPOCH 236\tLoss 0.3275381142184848\n",
      "EPOCH 237\tLoss 0.32575742261750357\n",
      "EPOCH 238\tLoss 0.32509548110621317\n",
      "EPOCH 239\tLoss 0.3241983481815883\n",
      "EPOCH 240\tLoss 0.3280378920691354\n",
      "EPOCH 241\tLoss 0.3250811057431357\n",
      "EPOCH 242\tLoss 0.3267943255958103\n",
      "EPOCH 243\tLoss 0.3258719210113798\n",
      "EPOCH 244\tLoss 0.3247834479524976\n",
      "EPOCH 245\tLoss 0.32830785853522165\n",
      "EPOCH 246\tLoss 0.3255411507118316\n",
      "EPOCH 247\tLoss 0.3251811230466479\n",
      "EPOCH 248\tLoss 0.3277156317517871\n",
      "EPOCH 249\tLoss 0.32689666535173145\n",
      "EPOCH 250\tLoss 0.3265190003883271\n",
      "EPOCH 251\tLoss 0.32693020573684145\n",
      "EPOCH 252\tLoss 0.32650888179029736\n",
      "EPOCH 253\tLoss 0.32728958910419825\n",
      "EPOCH 254\tLoss 0.32653212476344334\n",
      "EPOCH 255\tLoss 0.3241357136340368\n",
      "EPOCH 256\tLoss 0.3277579659507388\n",
      "EPOCH 257\tLoss 0.32538104695933207\n",
      "EPOCH 258\tLoss 0.3259412121205103\n",
      "EPOCH 259\tLoss 0.32835386267730166\n",
      "EPOCH 260\tLoss 0.327426158956119\n",
      "EPOCH 261\tLoss 0.32711737425554366\n",
      "EPOCH 262\tLoss 0.32498553466229213\n",
      "EPOCH 263\tLoss 0.3254215752794629\n",
      "EPOCH 264\tLoss 0.3245112165099099\n",
      "EPOCH 265\tLoss 0.3266026739563261\n",
      "EPOCH 266\tLoss 0.32764599436805364\n",
      "EPOCH 267\tLoss 0.3274762736899512\n",
      "EPOCH 268\tLoss 0.32655366900421323\n",
      "EPOCH 269\tLoss 0.3253612497023174\n",
      "EPOCH 270\tLoss 0.32571380195163546\n",
      "EPOCH 271\tLoss 0.3271313387723196\n",
      "EPOCH 272\tLoss 0.3244508788699195\n",
      "EPOCH 273\tLoss 0.32553412162122275\n",
      "EPOCH 274\tLoss 0.3260601262251536\n",
      "EPOCH 275\tLoss 0.32642477679820286\n",
      "EPOCH 276\tLoss 0.3271367975643703\n",
      "EPOCH 277\tLoss 0.32410350867680143\n",
      "EPOCH 278\tLoss 0.3244428244375047\n",
      "EPOCH 279\tLoss 0.3232290340321405\n",
      "EPOCH 280\tLoss 0.3268624757017408\n",
      "EPOCH 281\tLoss 0.3258573923792158\n",
      "EPOCH 282\tLoss 0.3269279194729669\n",
      "EPOCH 283\tLoss 0.32479205159913926\n",
      "EPOCH 284\tLoss 0.32591353356838226\n",
      "EPOCH 285\tLoss 0.32520313773836407\n",
      "EPOCH 286\tLoss 0.32627108764080776\n",
      "EPOCH 287\tLoss 0.3268773122912362\n",
      "EPOCH 288\tLoss 0.32797715848400477\n",
      "EPOCH 289\tLoss 0.3283902115765072\n",
      "EPOCH 290\tLoss 0.3252425342798233\n",
      "EPOCH 291\tLoss 0.32576824440842583\n",
      "EPOCH 292\tLoss 0.3257613458803722\n",
      "EPOCH 293\tLoss 0.3258763750394185\n",
      "EPOCH 294\tLoss 0.32629223522685824\n",
      "EPOCH 295\tLoss 0.3253671384993054\n",
      "EPOCH 296\tLoss 0.32726780005863737\n",
      "EPOCH 297\tLoss 0.3258243323791595\n",
      "EPOCH 298\tLoss 0.327161485240573\n",
      "EPOCH 299\tLoss 0.3258672094061261\n",
      "EPOCH 300\tLoss 0.32523668450968607\n"
     ]
    }
   ],
   "source": [
    "model.train()\n",
    "for epoch in range(EPOCHS):\n",
    "    losses = []\n",
    "    for idx, samples in enumerate(train_loader):\n",
    "        input_seqs, target_seqs, padding_masks = samples\n",
    "        input_seqs = input_seqs.to(device)\n",
    "        target_seqs = target_seqs.to(device)\n",
    "        padding_masks = padding_masks.to(device).permute(1, 0)\n",
    "\n",
    "        output = model(input_seqs, padding_mask=padding_masks)\n",
    "        output = output.permute(0, 2, 1)\n",
    "        loss = criterion(output, target_seqs)\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        torch.nn.utils.clip_grad_norm_(model.parameters(), 0.5)\n",
    "        optimizer.step()\n",
    "\n",
    "        losses.append(loss.item())\n",
    "\n",
    "    total_loss = sum(losses) / len(losses)\n",
    "    print(f'EPOCH {epoch+1}\\tLoss {total_loss}')\n",
    "    scheduler.step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "14uqjQaK2KEI"
   },
   "outputs": [],
   "source": [
    "torch.save(model.state_dict(), 'transformer_model.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "GLCX2E5h9i3m"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "pQ0aW9Ct9i05"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "RhxpBdIr3Jef"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "authorship_tag": "ABX9TyPolTWVQQoO8cF17g5TvZOU",
   "gpuType": "T4",
   "mount_file_id": "1d9NSLL7tZH2eHGMLy5XK3r0SyP1UPY6e",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}