{
 "id": "anitera/CounterEval",
 "owner": "anitera",
 "name": "CounterEval",
 "downloads": 52,
 "likes": 0,
 "last_modified": "2024-12-17T13:32:16.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "Please cite our work using the following format if you use this dataset:\n\n```bibtex\n@misc{domnich2024unifyingevaluationcounterfactualexplanations,\n      title={Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments},\n      author={Marharyta Domnich and Julius Valja and Rasmus Moorits Veski and Giacomo Magnifico and Kadi Tulver and Eduard Barbu and Raul Vicente},\n      year={2024},\n      eprint={2410.21131},\n      archivePrefix={arXiv},\n      primaryClass={cs.AI},\n      url={https://arxiv.org/abs/2410.21131},\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "1c71312815bcfc17b2ab5e46a92513edf864b363",
 "stated_evidence": "https://huggingface.co/datasets/anitera/CounterEval/blob/1c71312815bcfc17b2ab5e46a92513edf864b363/README.md",
 "file_evidence": "https://huggingface.co/datasets/anitera/CounterEval/tree/1c71312815bcfc17b2ab5e46a92513edf864b363",
 "card_nc": false
}