UiPath · AdiNicuPopa · Jan 20, 2025
diff --git a/metadata/1040ScheduleC__8__metadata.json b/metadata/1040ScheduleC__8__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "form_1040ScheduleC",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "1040ScheduleC",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 8,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "1040_schedule_c"
+    }
+  ]
+}
diff --git a/metadata/1040ScheduleD__8__metadata.json b/metadata/1040ScheduleD__8__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "form_1040ScheduleD",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "1040ScheduleD",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 8,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "1040_schedule_d"
+    }
+  ]
+}
diff --git a/metadata/1040ScheduleE__8__metadata.json b/metadata/1040ScheduleE__8__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "form_1040ScheduleE",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "1040ScheduleE",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 8,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "1040_schedule_e"
+    }
+  ]
+}
diff --git a/metadata/1040__29__metadata.json b/metadata/1040__29__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "form_1040",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "1040",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 29,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "1040"
+    }
+  ]
+}
diff --git a/metadata/4506T__31__metadata.json b/metadata/4506T__31__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "form_4506T",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "4506T",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 31,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "4506t"
+    }
+  ]
+}
diff --git a/metadata/Acord125__31__metadata.json b/metadata/Acord125__31__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "Acord125",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "Acord125",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 31,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "acord125"
+    }
+  ]
+}
diff --git a/metadata/Acord126__29__metadata.json b/metadata/Acord126__29__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "Acord126",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "Acord126",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 29,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "acord126"
+    }
+  ]
+}
diff --git a/metadata/Acord131__29__metadata.json b/metadata/Acord131__29__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "Acord131",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "Acord131",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 29,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "acord131"
+    }
+  ]
+}
diff --git a/metadata/Acord140__29__metadata.json b/metadata/Acord140__29__metadata.json
@@ -0,0 +1,33 @@
+{
+  "name": "Acord140",
+  "retrainable": true,
+  "gpu": 0,
+  "processorType": "CPU",
+  "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key",
+  "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.",
+  "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.",
+  "changeLog": "",
+  "cpu": 1,
+  "inputType": "JSON",
+  "displayName": "Acord140",
+  "memory": 0,
+  "mlPackageLanguage": "PYTHON37_DU",
+  "projectId": "[project-id]",
+  "stagingUri": "[staging-uri]",
+  "projectName": "UiPath Document Understanding",
+  "projectDescription": "UiPath models to classify and extract information from images and pdfs.",
+  "tenantName": "UiPath",
+  "minAIFabricVersion": "22.10",
+  "languageVersion": 4,
+  "version": 29,
+  "customVersion": "23.10.8",
+  "imagePath": "du-semistructured:v23.10-01.20-rc02",
+  "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}",
+  "settings": [
+    {
+      "key": "package_type",
+      "type": "STRING",
+      "value": "acord140"
+    }
+  ]
+}