Update README.md

README.md

@@ -104,4 +104,79 @@ configs:
   data_files:
   - split: test
     path: data/test-*
+task_categories:
+- token-classification
+language:
+- hi
+- anp
+- bho
+- mag
+pretty_name: Bihari Languages UPOS Dataset (Angika, Magahi, Bhojpuri)
+size_categories:
+- n<1K
 ---
+
+# Bihari Languages UPOS Dataset
+
+This dataset provides Part-of-Speech (POS) tags for **Angika (anp)**, **Magahi (mag)**, and **Bhojpuri (bho)**, parallelly aligned with **Hindi (hi)**. The annotations follow the **Universal Dependencies (UD)** Universal Part-of-Speech (UPOS) standard.
+
+This work is part of research conducted at the **Department of Computer Science and Engineering, IIT Bombay**.
+
+## Dataset Details
+
+- **Languages:** Angika, Magahi, Bhojpuri, Hindi
+- **Task:** Token Classification (Part-of-Speech Tagging)
+- **Schema:** Universal Dependencies (UPOS)
+- **Total Tags:** 18 (Standard 17 UPOS tags + 1 UNK/X)
+
+### Supported Tags
+The dataset uses the following integer mapping for the `test` split:
+`0: NOUN, 1: PUNCT, 2: ADP, 3: NUM, 4: SYM, 5: SCONJ, 6: ADJ, 7: PART, 8: DET, 9: CCONJ, 10: PROPN, 11: PRON, 12: UNK, 13: X, 14: ADV, 15: INTJ, 16: VERB, 17: AUX`
+
+
+
+## Institutional Credit & Support
+* This research was conducted at the **Department of Computer Science and Engineering, IIT Bombay**.
+* The work is supported by a Ph.D. grant from the **TCS Research Foundation** for research on extremely low-resource Indian languages.
+
+## 🚀 Getting Started
+You can load the dataset directly using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the test split
+dataset = load_dataset("snjev310/bihari-languages-upos", split="test")
+
+# Access the first sentence in Angika
+print(f"Tokens: {dataset[0]['angika_token']}")
+print(f"UPOS IDs: {dataset[0]['angika_upos']}")
+
+# Map integer IDs back to tag names
+labels = dataset.features["angika_upos"].feature.names
+readable_tags = [labels[i] for i in dataset[0]['angika_upos']]
+print(f"UPOS Tags: {readable_tags}")
+```
+## Research & Citation
+
+If you use this dataset in your research, please cite the following paper published in **ACL 2024**:
+
+```bibtex
+@inproceedings{kumar-etal-2024-part,
+    title = "Part-of-speech Tagging for Extremely Low-resource {I}ndian Languages",
+    author = "Kumar, Sanjeev  and
+      Jyothi, Preethi  and
+      Bhattacharyya, Pushpak",
+    editor = "Ku, Lun-Wei  and
+      Martins, Andre  and
+      Srikumar, Vivek",
+    booktitle = "Findings of the Association for Computational Linguistics: ACL 2024",
+    month = aug,
+    year = "2024",
+    address = "Bangkok, Thailand",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.findings-acl.857/",
+    doi = "10.18653/v1/2024.findings-acl.857",
+    pages = "14422--14431"
+}
+```