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Improve dataset card: Add paper link and task category (#2)

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- Improve dataset card: Add paper link and task category (f6cc3df0c126b2bb87676aeb5b2ce9366feab2ca)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +8 -8
README.md CHANGED
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  ---
 
 
 
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  license: cc-by-nc-sa-4.0
 
 
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  task_categories:
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  - table-question-answering
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  - visual-question-answering
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- language:
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- - en
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- - hi
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  tags:
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  - cricket
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- size_categories:
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- - 1K<n<10K
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  configs:
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  - config_name: default
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  data_files:
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  # MMCricBench 🏏
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  **Multimodal Cricket Scorecard Benchmark for VQA**
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- 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.
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- **Dataset:** https://huggingface.co/datasets/DIALab/MMCricBench
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  ---
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  ---
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+ language:
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+ - en
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+ - hi
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  license: cc-by-nc-sa-4.0
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+ size_categories:
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+ - 1K<n<10K
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  task_categories:
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  - table-question-answering
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  - visual-question-answering
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+ - image-text-to-text
 
 
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  tags:
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  - cricket
 
 
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  configs:
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  - config_name: default
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  data_files:
 
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  # MMCricBench 🏏
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  **Multimodal Cricket Scorecard Benchmark for VQA**
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+ 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).
 
 
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+ 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.
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  ---
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