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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: id |
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dtype: int64 |
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- name: question |
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dtype: string |
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- name: answer |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 3877036798 |
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num_examples: 884 |
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download_size: 1212054872 |
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dataset_size: 3877036798 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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license: cc-by-nc-4.0 |
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--- |
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# Dataset Card for MTVQA_IT |
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## Dataset description |
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This is a formatted version of [MTVQA](https://huggingface.co/datasets/ByteDance/MTVQA) including only the Italian data. |
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## Citation |
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If you use this dataset in your research you should cite the original publication: |
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``` |
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@misc{tang2024mtvqa, |
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title={MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering}, |
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author={Jingqun Tang and Qi Liu and Yongjie Ye and Jinghui Lu and Shu Wei and Chunhui Lin and Wanqing Li and Mohamad Fitri Faiz Bin Mahmood and Hao Feng and Zhen Zhao and Yanjie Wang and Yuliang Liu and Hao Liu and Xiang Bai and Can Huang}, |
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year={2024}, |
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eprint={2405.11985}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
