Update README.md

README.md

@@ -1,3 +1,92 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- token-classification
+language:
+- as
+- brx
+- mr
+- ne
+- sa
+pretty_name: CLASSER
+size_categories:
+- 10M<n<100M
+---
+
+# [CLASSER: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition](https://huggingface.co/datasets/prachuryyaIITG/CLASSER)
+
+**CLASSER** is a framework for cross-lingual annotation projection with script-similarity-based refinement to create high-quality fine-grained named entity recognition datasets.
+
+Utilizing CLASSER, fine-grained named entity recognition dataset is created in five languages: Assamese (as), Bodo (brx), Marathi (mr), Nepali (ne) and Sanskrit (sa).
+
+## CLASSER Framework Overview
+
+<img src="CLASSER_framework.png" alt="CLASSER Framework Overview" width="450"/>
+
+*Figure: Overview of the CLASSER framework.*
+
+## CLASSER Dataset Statictics
+
+<table>
+<thead>
+    <tr>
+      <th rowspan="2">Language</th>
+      <th colspan="3">Train set</th>
+      <th colspan="3">Development set</th>
+      <th colspan="4">Test set</th>
+    </tr>
+    <tr>
+      <th>Sentences</th><th>Entities</th><th>Tokens</th>
+      <th>Sentences</th><th>Entities</th><th>Tokens</th>
+      <th>Sentences</th><th>Entities</th><th>Tokens</th><th>IAA&nbsp;(κ)</th>
+    </tr>
+  </thead>
+  <tbody align="center">
+    <tr>
+      <td><b>as</b></td>
+      <td>140,257</td><td>204,611</td><td>1,972,697</td>
+      <td>15,585</td><td>15,763</td><td>219,114</td>
+      <td>1,000</td><td>1,407</td><td>14,270</td><td><b>0.901</b></td>
+    </tr>
+    <tr>
+      <td><b>brx</b></td>
+      <td>212,835</td><td>302,713</td><td>2,958,455</td>
+      <td>23,649</td><td>33,808</td><td>329,145</td>
+      <td>1,000</td><td>1,423</td><td>14,082</td><td><b>0.875</b></td>
+    </tr>
+    <tr>
+      <td><b>mr</b></td>
+      <td>611,902</td><td>889,217</td><td>8,135,813</td>
+      <td>67,990</td><td>97,943</td><td>948,020</td>
+      <td>1,000</td><td>1,443</td><td>13,996</td><td><b>0.887</b></td>
+    </tr>
+    <tr>
+      <td><b>ne</b></td>
+      <td>414,561</td><td>617,957</td><td>5,531,683</td>
+      <td>46,062</td><td>64,098</td><td>642,489</td>
+      <td>1,000</td><td>1,436</td><td>14,142</td><td><b>0.882</b></td>
+    </tr>
+    <tr>
+      <td><b>sa</b></td>
+      <td>265,114</td><td>378,287</td><td>3,488,871</td>
+      <td>29,458</td><td>40,589</td><td>377,306</td>
+      <td>1,000</td><td>1,412</td><td>12,925</td><td><b>0.861</b></td>
+    </tr>
+  </tbody>
+</table>
+
+*Note: IAA (Inter-Annotator Agreement) scores are represented using Cohen's κ.*
+
+## Citation
+
+If you use this dataset, please cite the following paper:
+
+```bibtex
+@inproceedings{kaushik2025classer,
+  title     = {{CLASSER}: Cross-lingual Annotation Projection enhancement through Script Similarity for Fine-grained Named Entity Recognition},
+  author    = {Kaushik, Prachuryya and Anand, Ashish},
+  booktitle = {Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics},
+  year      = {2025},
+  publisher = {Association for Computational Linguistics},
+  note      = {Main conference paper}
+}