Add dataset card

README.md

@@ -2,19 +2,19 @@
 annotations_creators:
 - expert-annotated
 language:
-- pan
-- guj
-- kan
-- asm
-- ben
 - mar
+- ben
+- tam
+- asm
+- ell
 - bho
 - ory
 - san
-- tam
 - tur
-- ell
+- kan
+- pan
 - rus
+- guj
 license: unknown
 multilinguality: translated
 task_categories:
@@ -270,11 +270,11 @@ configs:
 
 This is subset of 'XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding' with languages that were not part of the original XNLI plus three (verified) languages that are not strongly covered in MTEB
 
-|                |                                             |
-|----------------|---------------------------------------------|
-| Task category: | t2t                              |
-| Domains        | Non-fiction, Fiction, Government, Written                               |
-| Reference      | https://arxiv.org/pdf/2301.06527 |
+|               |                                             |
+|---------------|---------------------------------------------|
+| Task category | t2t                              |
+| Domains       | Non-fiction, Fiction, Government, Written                               |
+| Reference     | https://arxiv.org/pdf/2301.06527 |
 
 
 ## How to evaluate on this task
@@ -299,15 +299,16 @@ To learn more about how to run models on `mteb` task check out the [GitHub repit
 If you use this dataset, please cite the dataset as well as [mteb](https://github.com/embeddings-benchmark/mteb), as this dataset likely includes additional processing as a part of the [MMTEB Contribution](https://github.com/embeddings-benchmark/mteb/tree/main/docs/mmteb).
 
 ```bibtex
+
 @inproceedings{upadhyay2023xnli,
-            title={XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding (XLU)},
-            author={Upadhyay, Ankit Kumar and Upadhya, Harsit Kumar},
-            booktitle={2023 IEEE 8th International Conference for Convergence in Technology (I2CT)},
-            pages={1--6},
-            year={2023},
-            organization={IEEE}
-            }
-        
+  author = {Upadhyay, Ankit Kumar and Upadhya, Harsit Kumar},
+  booktitle = {2023 IEEE 8th International Conference for Convergence in Technology (I2CT)},
+  organization = {IEEE},
+  pages = {1--6},
+  title = {XNLI 2.0: Improving XNLI dataset and performance on Cross Lingual Understanding (XLU)},
+  year = {2023},
+}
+
 
 @article{enevoldsen2025mmtebmassivemultilingualtext,
   title={MMTEB: Massive Multilingual Text Embedding Benchmark},