Improve dataset card: Add paper link and task category

README.md

@@ -1,15 +1,16 @@
 ---
+language:
+- en
+- hi
 license: cc-by-nc-sa-4.0
+size_categories:
+- 1K<n<10K
 task_categories:
 - table-question-answering
 - visual-question-answering
-language:
-- en
-- hi
+- image-text-to-text
 tags:
 - cricket
-size_categories:
-- 1K<n<10K
 configs:
 - config_name: default
   data_files:
@@ -45,10 +46,9 @@ dataset_info:
 # MMCricBench 🏏
 **Multimodal Cricket Scorecard Benchmark for VQA**
 
-MMCricBench evaluates **Large Vision-Language Models (LVLMs)** on **numerical reasoning**, **cross-lingual understanding**, and **multi-image reasoning** over semi-structured cricket scorecard images. It includes English and Hindi scorecards; all questions/answers are in English.
-
-**Dataset:** https://huggingface.co/datasets/DIALab/MMCricBench  
+This repository contains the dataset for the paper [Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs](https://huggingface.co/papers/2508.17334).
 
+MMCricBench evaluates **Large Vision-Language Models (LVLMs)** on **numerical reasoning**, **cross-lingual understanding**, and **multi-image reasoning** over semi-structured cricket scorecard images. It includes English and Hindi scorecards; all questions/answers are in English.
 
 ---
 
@@ -129,4 +129,4 @@ Accuracy (%) on MMCricBench by split and language.
 *Numbers are exact-match accuracy (higher is better). For C1/C2/C3 breakdowns, see Table 3 (single-image) and Table 5 (multi-image) in the paper.* 
 
 ## Contact
-For questions or issues, please open a discussion on the dataset page or email **Abhirama Subramanyam** at [email protected]
+For questions or issues, please open a discussion on the dataset page or email **Abhirama Subramanyam** at [email protected]