Create README.md

README.md

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+---
+language: mr
+tags:
+- bert
+license: cc-by-4.0
+datasets:
+- l3cube-pune/MahaEmotions
+widget:
+- text: "ते फुलांचे सौंदर्य आहे जे कवी आणि लेखकांना त्यांच्याजवळ इतके आकर्षित करते, आणि आपण ते त्यांच्या लेखना मधून बघू शकतात"
+---
+
+
+## MahaEmotions-BERT
+
+MahaEmotions-BERT is a MahaBERT(<a href="https://huggingface.co/l3cube-pune/marathi-bert-v2">l3cube-pune/marathi-bert-v2</a>) model fine-tuned on L3Cube-MahaEmotions Corpus, a Marathi Emotion Recognition dataset. <br>
+MahaEmotions is a high-quality Marathi emotion recognition dataset designed to address the challenge of limited annotated data in low-resource languages. It features 11 fine-grained emotion labels and combines synthetically annotated training data (generated using Large Language Models like GPT-4) with manually labeled validation and test sets to establish a reliable gold-standard benchmark. <br>
+[github link] (https://github.com/l3cube-pune/MarathiNLP)
+
+More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2506.00863)
+<br>
+Citing:
+```
+@article{kowtal2025l3cube,
+  title={L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models},
+  author={Kowtal, Nidhi and Joshi, Raviraj},
+  journal={arXiv preprint arXiv:2506.00863},
+  year={2025}
+}
+```