{
 "id": "nvidia/HelpSteer2",
 "owner": "nvidia",
 "name": "HelpSteer2",
 "downloads": 29395,
 "likes": 468,
 "last_modified": "2024-12-18T21:06:57.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "If you find this dataset useful, please cite the following works\n\n```bibtex\n@misc{wang2024helpsteer2preferencecomplementingratingspreferences,\n      title={HelpSteer2-Preference: Complementing Ratings with Preferences}, \n      author={Zhilin Wang and Alexander Bukharin and Olivier Delalleau and Daniel Egert and Gerald Shen and Jiaqi Zeng and Oleksii Kuchaiev and Yi Dong},\n      year={2024},\n      eprint={2410.01257},\n      archivePrefix={arXiv},\n      primaryClass={cs.LG},\n      url={https://arxiv.org/abs/2410.01257}, \n}\n\n@misc{wang2024helpsteer2,\n      title={HelpSteer2: Open-source dataset for training top-performing reward models}, \n      author={Zhilin Wang and Yi Dong and Olivier Delalleau and Jiaqi Zeng and Gerald Shen and Daniel Egert and Jimmy J. Zhang and Makesh Narsimhan Sreedhar and Oleksii Kuchaiev},\n      year={2024},\n      eprint={2406.08673},\n      archivePrefix={arXiv},\n      primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive."
}