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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

language:

  • {lang_0} # Example: fr
  • {lang_1} # Example: en license: {license} # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses license_name: {license_name} # If license = other (license not in https://hf.co/docs/hub/repositories-licenses), specify an id for it here, like my-license-1.0. license_link: {license_link} # If license = other, specify "LICENSE" or "LICENSE.md" to link to a file of that name inside the repo, or a URL to a remote file. license_details: {license_details} # Legacy, textual description of a custom license. tags:
  • {tag_0} # Example: audio
  • {tag_1} # Example: bio
  • {tag_2} # Example: natural-language-understanding
  • {tag_3} # Example: birds-classification annotations_creators:
  • {creator} # Example: crowdsourced, found, expert-generated, machine-generated language_creators:
  • {creator} # Example: crowdsourced, ... language_details:
  • {bcp47_lang_0} # Example: fr-FR
  • {bcp47_lang_1} # Example: en-US pretty_name: {pretty_name} # Example: SQuAD size_categories:
  • {number_of_elements_in_dataset} # Example: n<1K, 100K<n<1M, … source_datasets:
  • {source_dataset_0} # Example: wikipedia
  • {source_dataset_1} # Example: laion/laion-2b task_categories: # Full list at https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts
  • {task_0} # Example: question-answering
  • {task_1} # Example: image-classification task_ids:
  • {subtask_0} # Example: extractive-qa
  • {subtask_1} # Example: multi-class-image-classification paperswithcode_id: {paperswithcode_id} # Dataset id on PapersWithCode (from the URL). Example for SQuAD: squad configs: # Optional. This can be used to pass additional parameters to the dataset loader, such as data_files, data_dir, and any builder-specific parameters
  • config_name: {config_name_0} # Name of the dataset subset, if applicable. Example: default data_files:
    • split: {split_name_0} # Example: train path: {file_path_0} # Example: data.csv
    • split: {split_name_1} # Example: test path: {file_path_1} # Example: holdout.csv
  • config_name: {config_name_1} # Name of the dataset subset. Example: processed data_files:
    • split: {split_name_3} # Example: train path: {file_path_3} # Example: data_processed.csv
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