---
# 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