MarathiEmoExplain is a 10,762-sentence Marathi dataset annotated with sentiment, fine-grained emotion, and human-written justifications. It enables both classification and reasoning generation benchmarks, supporting interpretable, culturally grounded NLP research in a low-resource setting.
If you use the MarathiEmoExplain dataset in your research, please cite the following paper:
@inproceedings{kumar-etal-2025-marathiemoexplain,
title = "{M}arathi{E}mo{E}xplain: A Dataset for Sentiment, Emotion, and Explanation in Low-Resource {M}arathi",
author = "Kumar, Anuj and
Sayed, Mohammed Faisal and
Ahlawat, Satyadev and
Prasad, Yamuna",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-emnlp.712/",
doi = "10.18653/v1/2025.findings-emnlp.712",
pages = "13234--13243",
ISBN = "979-8-89176-335-7",
}