Update README.md

README.md

@@ -24,8 +24,10 @@ language:
 - orm
 - ar
 - ig
+- hi
+- mr
 size_categories:
-- 1K<n<10K
+- 10K<n<100K
 task_categories:
 - question-answering
 pretty_name: cvqa
@@ -71,9 +73,9 @@ configs:
 # About CVQA
 
 
-CVQA is a culturally diverse multilingual VQA benchmark consisting of over 9,000 questions from 33 country-language pairs. The questions in CVQA are written in both the native languages and English, and are categorized into 10 diverse categories.
+![CVQA](https://arxiv.org/pdf/2406.05967) is a culturally diverse multilingual VQA benchmark consisting of over 10,000 questions from 39 country-language pairs. The questions in CVQA are written in both the native languages and English, and are categorized into 10 diverse categories.
 
-This data is designed for use as a test set. Please [submit your submission here](https://eval.ai/web/challenges/challenge-page/2305/) to evaluate your model performance. CVQA is constructed through a collaborative effort led by a team of researchers from MBZUAI. Read more about CVQA in this paper.
+This data is designed for use as a test set. Please [submit your submission here](https://eval.ai/web/challenges/challenge-page/2305/) to evaluate your model performance. CVQA is constructed through a collaborative effort led by a team of researchers from MBZUAI. ![Read more about CVQA in this paper](https://arxiv.org/pdf/2406.05967).
 
 ![CVQA statistics](https://cvqa-benchmark.org/images/full-statistics.png)
 
@@ -140,6 +142,4 @@ Annotators needed to be fluent speakers of the language in question and be accus
 
 Note that each question has its own license. All data here is free to use for research purposes, but not every entry is permissible for commercial use.
 
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-
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