diff --git a/metadata/1040ScheduleC__8__metadata.json b/metadata/1040ScheduleC__8__metadata.json new file mode 100644 index 0000000..a9765ca --- /dev/null +++ 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 new file mode 100644 index 0000000..9018d6d --- /dev/null +++ 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 new file mode 100644 index 0000000..f82cca6 --- /dev/null +++ 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 new file mode 100644 index 0000000..30c5dbb --- /dev/null +++ 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 new file mode 100644 index 0000000..6e773a4 --- /dev/null +++ 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 new file mode 100644 index 0000000..ddf5787 --- /dev/null +++ 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 new file mode 100644 index 0000000..7588cf6 --- /dev/null +++ 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 new file mode 100644 index 0000000..a0ccf09 --- /dev/null +++ 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 new file mode 100644 index 0000000..f3131e0 --- /dev/null +++ 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" + } + ] +} diff --git a/metadata/Acord25__29__metadata.json b/metadata/Acord25__29__metadata.json new file mode 100644 index 0000000..acde168 --- /dev/null +++ b/metadata/Acord25__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 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": "Acord25", + "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": "acord25" + } + ] +} diff --git a/metadata/BankStatements__29__metadata.json b/metadata/BankStatements__29__metadata.json new file mode 100644 index 0000000..bb13ce5 --- /dev/null +++ b/metadata/BankStatements__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "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": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__29__metadata.json b/metadata/BillsOfLading__29__metadata.json new file mode 100644 index 0000000..cde2f20 --- /dev/null +++ b/metadata/BillsOfLading__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "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": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__18__metadata.json b/metadata/CMS1500__18__metadata.json new file mode 100644 index 0000000..f3aaa93 --- /dev/null +++ b/metadata/CMS1500__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "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. accepted file formats: 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": "CMS1500", + "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": 18, + "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": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__18__metadata.json b/metadata/CertificatesOfIncorporation__18__metadata.json new file mode 100644 index 0000000..df1d2f7 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "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. Accepted file formats: 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": "CertificatesOfIncorporation", + "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": 18, + "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": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__18__metadata.json b/metadata/CertificatesOfOrigin__18__metadata.json new file mode 100644 index 0000000..c6a3286 --- /dev/null +++ b/metadata/CertificatesOfOrigin__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "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. Accepted file formats: 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": "CertificatesOfOrigin", + "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": 18, + "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": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__29__metadata.json b/metadata/Checks__29__metadata.json new file mode 100644 index 0000000..71f3eab --- /dev/null +++ b/metadata/Checks__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "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": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__18__metadata.json b/metadata/ChildrenProductCertificates__18__metadata.json new file mode 100644 index 0000000..a9976c9 --- /dev/null +++ b/metadata/ChildrenProductCertificates__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "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. Accepted file formats: 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": "ChildrenProductCertificates", + "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": 18, + "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": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__31__metadata.json b/metadata/DocumentClassifier__31__metadata.json new file mode 100644 index 0000000..29b2805 --- /dev/null +++ b/metadata/DocumentClassifier__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "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-ml-document-type-text-classifier: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\"}]}" +} diff --git a/metadata/DocumentUnderstanding__40__metadata.json b/metadata/DocumentUnderstanding__40__metadata.json new file mode 100644 index 0000000..264061d --- /dev/null +++ b/metadata/DocumentUnderstanding__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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": "DocumentUnderstanding", + "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": 40, + "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": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__18__metadata.json b/metadata/EUDeclarationOfConformity__18__metadata.json new file mode 100644 index 0000000..bcbbd43 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "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. Accpted file formats: 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": "EUDeclarationOfConformity", + "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": 18, + "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": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__31__metadata.json b/metadata/FM1003__31__metadata.json new file mode 100644 index 0000000..23aa526 --- /dev/null +++ b/metadata/FM1003__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 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": "FM1003", + "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": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__29__metadata.json b/metadata/FinancialStatements__29__metadata.json new file mode 100644 index 0000000..c988e57 --- /dev/null +++ b/metadata/FinancialStatements__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "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": "financial_statements" + } + ] +} diff --git a/metadata/I9__31__metadata.json b/metadata/I9__31__metadata.json new file mode 100644 index 0000000..48cbc0d --- /dev/null +++ b/metadata/I9__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 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": "I9", + "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": "i9" + } + ] +} diff --git a/metadata/IDCards__33__metadata.json b/metadata/IDCards__33__metadata.json new file mode 100644 index 0000000..588a029 --- /dev/null +++ b/metadata/IDCards__33__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "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.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "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": 33, + "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": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__39__metadata.json b/metadata/IndianInvoices__39__metadata.json new file mode 100644 index 0000000..cd53fcc --- /dev/null +++ b/metadata/IndianInvoices__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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": "IndianInvoices", + "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": 39, + "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": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__32__metadata.json b/metadata/InvoicesChina__32__metadata.json new file mode 100644 index 0000000..2a5a1cc --- /dev/null +++ b/metadata/InvoicesChina__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, 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": "InvoicesChina", + "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": 32, + "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": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__18__metadata.json b/metadata/InvoicesShipping__18__metadata.json new file mode 100644 index 0000000..9c91924 --- /dev/null +++ b/metadata/InvoicesShipping__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "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. Accepted file formats: 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": "InvoicesShipping", + "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": 18, + "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": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__40__metadata.json b/metadata/Invoices__40__metadata.json new file mode 100644 index 0000000..5ad0dd3 --- /dev/null +++ b/metadata/Invoices__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "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": 40, + "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": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__37__metadata.json b/metadata/JapaneseInvoices__37__metadata.json new file mode 100644 index 0000000..a3104d8 --- /dev/null +++ b/metadata/JapaneseInvoices__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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. Only Google Cloud Vision OCR is supported for training or serving this model. 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": "JapaneseInvoices", + "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": 37, + "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": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__29__metadata.json b/metadata/PackingLists__29__metadata.json new file mode 100644 index 0000000..348d5da --- /dev/null +++ b/metadata/PackingLists__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "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": "packing_lists" + } + ] +} diff --git a/metadata/Passports__33__metadata.json b/metadata/Passports__33__metadata.json new file mode 100644 index 0000000..c1bb7fe --- /dev/null +++ b/metadata/Passports__33__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "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.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "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": 33, + "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": "passports" + } + ] +} diff --git a/metadata/Payslips__18__metadata.json b/metadata/Payslips__18__metadata.json new file mode 100644 index 0000000..e869523 --- /dev/null +++ b/metadata/Payslips__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "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. Accepted file formats: 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": "Payslips", + "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": 18, + "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": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__39__metadata.json b/metadata/PurchaseOrders__39__metadata.json new file mode 100644 index 0000000..5f55051 --- /dev/null +++ b/metadata/PurchaseOrders__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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": "PurchaseOrders", + "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": 39, + "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": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__40__metadata.json b/metadata/Receipts__40__metadata.json new file mode 100644 index 0000000..c65b7bd --- /dev/null +++ b/metadata/Receipts__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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": "Receipts", + "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": 40, + "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": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__32__metadata.json b/metadata/RemittanceAdvices__32__metadata.json new file mode 100644 index 0000000..7dfe9d0 --- /dev/null +++ b/metadata/RemittanceAdvices__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, 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": "RemittanceAdvices", + "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": 32, + "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": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__8__metadata.json b/metadata/UB04__8__metadata.json new file mode 100644 index 0000000..29499c9 --- /dev/null +++ b/metadata/UB04__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. 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": "UB04", + "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": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__25__metadata.json b/metadata/UiPathDocumentOCR_CPU__25__metadata.json new file mode 100644 index 0000000..b1e6647 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__25__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "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": 25, + "customVersion": "23.10.8", + "imagePath": "du-doc-ocr-cpu:v23.10-01.20-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json new file mode 100644 index 0000000..b179a69 --- /dev/null +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "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-doc-ocr:v23.10-01.20-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__39__metadata.json b/metadata/UtilityBills__39__metadata.json new file mode 100644 index 0000000..c740e3a --- /dev/null +++ b/metadata/UtilityBills__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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": "UtilityBills", + "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": 39, + "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": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__29__metadata.json b/metadata/VehicleTitles__29__metadata.json new file mode 100644 index 0000000..bf4514d --- /dev/null +++ b/metadata/VehicleTitles__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/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.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "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": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__32__metadata.json b/metadata/W2__32__metadata.json new file mode 100644 index 0000000..6d23158 --- /dev/null +++ b/metadata/W2__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, 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": "W2", + "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": 32, + "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": "w2" + } + ] +} diff --git a/metadata/W9__32__metadata.json b/metadata/W9__32__metadata.json new file mode 100644 index 0000000..61cccec --- /dev/null +++ b/metadata/W9__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, 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": "W9", + "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": 32, + "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": "w9" + } + ] +}