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README.md

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 ---
-license: openrail
+license: other
+task_categories:
+- text-classification
+multilinguality:
+- monolingual
+language:
+- bn
+pretty_name: EmoNoBa
+task_ids:
+- multi-class-classification
+- multi-label-classification
+tags:
+- emotion
+paperswithcode_id: emonoba
 ---
+
+# Dataset Card for "EmoNoBa"
+
+### Dataset Summary
+
+Detecting Multi-labeled Emotion for 6 emotion categories, namely Love, Joy, Surprise, Anger, Sadness, Fear. 
+
+### Citation Information
+
+```
+@inproceedings{islam2022emonoba,
+  title={EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts},
+  author={Islam, Khondoker Ittehadul and Yuvraz, Tanvir and Islam, Md Saiful and Hassan, Enamul},
+  booktitle={Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
+  pages={128--134},
+  year={2022}
+}
+```