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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+ language:
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+ - {lang_0} # Example: fr
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+ - {lang_1} # Example: en
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+ license: {license} # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
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+ 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`.
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+ 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.
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+ license_details: {license_details} # Legacy, textual description of a custom license.
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+ tags:
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+ - {tag_0} # Example: audio
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+ - {tag_1} # Example: bio
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+ - {tag_2} # Example: natural-language-understanding
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+ - {tag_3} # Example: birds-classification
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+ annotations_creators:
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+ - {creator} # Example: crowdsourced, found, expert-generated, machine-generated
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+ language_creators:
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+ - {creator} # Example: crowdsourced, ...
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+ language_details:
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+ - {bcp47_lang_0} # Example: fr-FR
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+ - {bcp47_lang_1} # Example: en-US
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+ pretty_name: {pretty_name} # Example: SQuAD
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+ size_categories:
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+ - {number_of_elements_in_dataset} # Example: n<1K, 100K<n<1M, …
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+ source_datasets:
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+ - {source_dataset_0} # Example: wikipedia
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+ - {source_dataset_1} # Example: laion/laion-2b
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+ task_categories: # Full list at https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts
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+ - {task_0} # Example: question-answering
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+ - {task_1} # Example: image-classification
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+ task_ids:
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+ - {subtask_0} # Example: extractive-qa
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+ - {subtask_1} # Example: multi-class-image-classification
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+ paperswithcode_id: {paperswithcode_id} # Dataset id on PapersWithCode (from the URL). Example for SQuAD: squad
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+ 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
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+ - config_name: {config_name_0} # Name of the dataset subset, if applicable. Example: default
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+ data_files:
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+ - split: {split_name_0} # Example: train
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+ path: {file_path_0} # Example: data.csv
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+ - split: {split_name_1} # Example: test
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+ path: {file_path_1} # Example: holdout.csv
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+ - config_name: {config_name_1} # Name of the dataset subset. Example: processed
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+ data_files:
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+ - split: {split_name_3} # Example: train
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+ path: {file_path_3} # Example: data_processed.csv