Update README.md

README.md

@@ -3,6 +3,7 @@ license: cc-by-nc-sa-4.0
 task_categories:
 - table-question-answering
 - visual-question-answering
+- image-text-to-text
 language:
 - en
 - hi
@@ -33,13 +34,13 @@ dataset_info:
     dtype: string
   splits:
   - name: test_single
-    num_bytes: 976385438.0
+    num_bytes: 976385438
     num_examples: 2000
   - name: test_multi
-    num_bytes: 904538778.0
+    num_bytes: 904538778
     num_examples: 997
   download_size: 1573738795
-  dataset_size: 1880924216.0
+  dataset_size: 1880924216
 ---
 
 # MMCricBench 🏏
@@ -47,7 +48,7 @@ dataset_info:
 
 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  
+**Paper:** https://arxiv.org/pdf/2508.17334 
 
 
 ---
@@ -129,4 +130,4 @@ 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 penamakuri.1@iitj.ac.in
+For questions or issues, please open a discussion on the dataset page or email **Abhirama Subramanyam** at penamakuri.1@iitj.ac.in