| --- |
| # Example metadata to be added to a dataset card. |
| # Full dataset card template at https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md |
| language: |
| - {en} # Example: fr |
| tags: |
| - {English Literature} # Example: English Literature |
| annotations_creators: |
| - {expert-generated} # Example: crowdsourced, found, expert-generated, machine-generated |
| language_creators: |
| - {expert-generated} # Example: crowdsourced, ... |
| language_details: |
| - {utf-8} # Example: fr-FR |
| pretty_name: {influence} # Example: SQuAD |
| size_categories: |
| - {n<1K} # Example: n<1K, 100K<n<1M, … |
| source_datasets: |
| - {gutenberg} # Example: wikipedia |
| task_categories: # Full list at https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/src/pipelines.ts |
| - {Text Classification} # Example: question-answering |
| task_ids: |
| - {semantic-similarity-scoring} # Example: extractive-qa |
| - {Semantic Similarity Classification} # Example: multi-class-image-classification |
| 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: {influenceFTv1} # Name of the dataset subset, if applicable. Example: default |
| data_files: |
| - split: {train} # Example: train |
| path: {train.csv} # Example: data.csv |
| - split: {test} # Example: test |
| path: {test.csv} # Example: holdout.csv |
| - split: {validation} # Example: test |
| path: {valid.csv} # Example: holdout.csv |
| |
