{
 "id": "Hidden-States/GoEmotions-Processed",
 "owner": "Hidden-States",
 "name": "GoEmotions-Processed",
 "downloads": 25,
 "likes": 0,
 "last_modified": "2026-01-09T20:00:26.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "If you use this dataset, please cite the original GoEmotions paper:\n\n```bibtex\n@inproceedings{demszky2020goemotions,\n  title     = {GoEmotions: A Dataset of Fine-Grained Emotions},\n  author    = {Demszky, Dorottya and Movshovitz-Attias, Dana and Ko, Jeongwoo and Cowen, Alan and Nemade, Gaurav and Ravi, Sujith},\n  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},\n  year      = {2020}\n}\n\nalso cite our paper:\n@article{DualObjectivesEmotion2026,\n  author  = {Arnab Karmakar, Subinoy Bera}\n  title   = {Do We Need a Classifier? Dual Objectives Go Beyond Baselines in Fine-Grained Emotion Classification},\n  year    = {2026},\n  journal = {Research Gate},\n  doi     = {10.13140/RG.2.2.16084.46728},\n  url     = {https://www.researchgate.net/publication/399329430_Do_We_Need_a_Classifier_Dual_Objectives_Go_Beyond_Baselines_in_Fine-Grained_Emotion_Classification}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "67d9fc9fad5be44376ba85a2ff16c8d13528d41f",
 "stated_evidence": "https://huggingface.co/datasets/Hidden-States/GoEmotions-Processed/blob/67d9fc9fad5be44376ba85a2ff16c8d13528d41f/README.md",
 "file_evidence": "https://huggingface.co/datasets/Hidden-States/GoEmotions-Processed/tree/67d9fc9fad5be44376ba85a2ff16c8d13528d41f",
 "card_nc": false
}