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README.md
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The dataset is oriented toward visual question answering of multilingual text scenes in nine languages, including Korean, Japanese, Italian, Russian, Deutsch, French, Thai, Arabic, and Vietnamese. The question-answer pairs are labeled by native annotators following a series of rules. A comprehensive description of the dataset can be found in the paper [MTVQA](https://arxiv.org/pdf/2405.11985).
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## - Image Distribution
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<table style="width:
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<tr>
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<td><b>KO</b></td>
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<td><b>JA</b></td>
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<td>1139</td>
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</tr>
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<tr>
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<td><b>Test
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<td>250</td>
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<td>250</td>
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<td>250</td>
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The dataset is oriented toward visual question answering of multilingual text scenes in nine languages, including Korean, Japanese, Italian, Russian, Deutsch, French, Thai, Arabic, and Vietnamese. The question-answer pairs are labeled by native annotators following a series of rules. A comprehensive description of the dataset can be found in the paper [MTVQA](https://arxiv.org/pdf/2405.11985).
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## - Image Distribution
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<table style="width:60%;">
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<tr>
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<td><b>KO</b></td>
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<td><b>JA</b></td>
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<td>1139</td>
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</tr>
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<tr>
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<td><b>Test Images</b></td>
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<td>250</td>
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<td>250</td>
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<td>250</td>
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