From ed422de21c2dd1c18e0e0cc67f1beb7198d62c23 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=81=93=E8=BE=95?= Date: Wed, 22 Jan 2025 17:23:44 +0800 Subject: [PATCH] in use case, add agentscope --- README.md | 7 +++---- README_ZH.md | 8 ++++---- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 2561cbec0..04a55d794 100644 --- a/README.md +++ b/README.md @@ -160,13 +160,12 @@ Table of Contents - Improving Existing Open Source Video Datasets - [Data-Juicer related Competitions] - [Better Synth](https://tianchi.aliyun.com/competition/entrance/532251), explore the impact of large model synthetic data on image understanding ability with DJ-Sandbox Lab and multimodal large models - - [Modelscope-Sora Challenge](https://tianchi.aliyun.com/competition/entrance/532219), based on Data-Juicer and [EasyAnimate](https://github.com/aigc-apps/EasyAnimate), optimize data and train SORA-like small models to generate better videos + - [Modelscope-Sora Challenge](https://tianchi.aliyun.com/competition/entrance/532219), based on Data-Juicer and [EasyAnimate](https://github.com/aigc-apps/EasyAnimate) framework, optimize data and train SORA-like small models to generate better videos - [Better Mixture](https://tianchi.aliyun.com/competition/entrance/532174), only adjust data mixing and sampling strategies for given multiple candidate datasets - FT-Data Ranker ([1B Track](https://tianchi.aliyun.com/competition/entrance/532157), [7B Track](https://tianchi.aliyun.com/competition/entrance/532158)), For a specified candidate dataset, only adjust the data filtering and enhancement strategies - - [Kolors-LoRA Stylized Story Challenge](https://tianchi.aliyun.com/competition/entrance/532254), based on Data-Juicer and [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio), explore Difussion model fine-tuning + - [Kolors-LoRA Stylized Story Challenge](https://tianchi.aliyun.com/competition/entrance/532254), based on Data-Juicer and [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) framework, explore Difussion model fine-tuning - [DJ-SORA](docs/DJ_SORA.md) -- [Agentic Filters of DJ](./demos/api_service/react_data_filter_process.ipynb) -- [Agentic Mappers of DJ](./demos/api_service/react_data_mapper_process.ipynb) +- Based on Data-Juicer and [AgentScope](https://github.com/modelscope/agentscope) framework, leverage [agents to call DJ Filters](./demos/api_service/react_data_filter_process.ipynb) and [call DJ Mappers](./demos/api_service/react_data_mapper_process.ipynb) ### Interactive Examples diff --git a/README_ZH.md b/README_ZH.md index 8e7879200..8720d6ac6 100644 --- a/README_ZH.md +++ b/README_ZH.md @@ -146,13 +146,13 @@ Data-Juicer正在积极更新和维护中，我们将定期强化和新增更多 - 改进现有的开源视频数据集 * Data-Juicer相关竞赛 - [Better Synth](https://tianchi.aliyun.com/competition/entrance/532251), 在DJ-沙盒实验室和多模态大模型上，探索大模型合成数据对图像理解能力的影响 - - [Modelscope-Sora挑战赛](https://tianchi.aliyun.com/competition/entrance/532219), 基于Data-Juicer和[EasyAnimate](https://github.com/aigc-apps/EasyAnimate)，调优文本-视频数据集，在类SORA小模型上训练以生成更好的视频 + - [Modelscope-Sora挑战赛](https://tianchi.aliyun.com/competition/entrance/532219), 基于Data-Juicer和[EasyAnimate](https://github.com/aigc-apps/EasyAnimate)框架，调优文本-视频数据集，在类SORA小模型上训练以生成更好的视频 - [Better Mixture](https://tianchi.aliyun.com/competition/entrance/532174), 针对指定多个候选数据集，仅调整数据混合和采样策略 - FT-Data Ranker ([1B Track](https://tianchi.aliyun.com/competition/entrance/532157), [7B Track](https://tianchi.aliyun.com/competition/entrance/532158)), 针对指定候选数据集，仅调整数据过滤和增强策略 - - [可图Kolors-LoRA风格故事挑战赛](https://tianchi.aliyun.com/competition/entrance/532254), 基于魔搭[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)和Data-Juicer框架，探索Difussion模型微调 + - [可图Kolors-LoRA风格故事挑战赛](https://tianchi.aliyun.com/competition/entrance/532254), 基于Data-Juicer和[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)框架，探索Difussion模型微调 * [DJ-SORA](docs/DJ_SORA_ZH.md) -* [智能体调用DJ Filters](./demos/api_service/react_data_filter_process.ipynb) -* [智能体调用DJ Mappers](./demos/api_service/react_data_mapper_process.ipynb) +* 基于Data-Juicer和[AgentScope](https://github.com/modelscope/agentscope)框架，通过[智能体调用DJ Filters](./demos/api_service/react_data_filter_process.ipynb)和[调用DJ Mappers](./demos/api_service/react_data_mapper_process.ipynb) + ### 交互类示例