Link dataset to AWED-FiNER paper and GitHub repository

README.md

@@ -1,7 +1,4 @@
 ---
-license: mit
-task_categories:
-- token-classification
 language:
 - as
 - bn
@@ -25,11 +22,17 @@ language:
 - ta
 - te
 - ur
+license: mit
+task_categories:
+- token-classification
+- other
 pretty_name: SampurNER
 ---
 
 # [SampurNER: Fine-grained Named Entity Recognition dataset for 22 Indian Languages](https://huggingface.co/datasets/prachuryyaIITG/SampurNER)
 
+[**Paper**](https://huggingface.co/papers/2601.10161) | [**GitHub**](https://github.com/PrachuryyaKaushik/AWED-FiNER)
+
 We introduce SampurNER, a fine-grained named entity recognition (FgNER) dataset encompassing all 22 scheduled Indian languages spoken by more than two billion people across various countries. 
 
 We have proposed an entity-anchored machine translation (EaMaTa) framework that leverages the largest manually annotated English FgNER dataset, *FewNERD*, to create a large-scale FgNER dataset in 22 languages.
@@ -202,13 +205,23 @@ Various rigorous analyses and human evaluations confirm the high quality of the
 
 ## Citation
 
-If you use this dataset, please cite the following paper:
+If you use this dataset, please cite the following papers:
 
 ```bibtex
+@misc{kaushik2026awedfiner,
+  title        = {AWED-FiNER: Agents, Web Applications, and Expert Detectors for Fine-grained Named Entity Recognition across 36 Languages for 6.6 Billion Speakers},
+  author       = {Kaushik, Prachuryya and Anand, Ashish},
+  year         = {2026},
+  note         = {arXiv preprint, submitted},
+  archivePrefix= {arXiv},
+  eprint       = {submit/7163987}
+}
+
 @inproceedings{kaushik2026sampurner,
   title={SampurNER: Fine-grained Named Entity Recognition dataset for 22 Indian Languages},
   author={Kaushik, Prachuryya and Anand, Ashish},
   booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
   volume={40},
   year={2026}
-}
+}
+```