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# 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
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