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MMQA
- huggingface.co
Updated Oct 22, 2024
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EmailClick to copy linkLink copiedCiteprometheus-eval (2024). MMQA [Dataset]. https://huggingface.co/datasets/prometheus-eval/MMQACroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedOct 22, 2024Dataset authored and provided byprometheus-evalDescriptionLinks for Reference
Repository: https://github.com/guijinSON/MM-Eval Paper: https://arxiv.org/abs/2410.17578 Point of Contact:spthsrbwls123@yonsei.ac.kr / dkyoon@kaist.ac.kr
Multilingual Multicultural-Question Answering (MMQA)MMQA is a multilingual and multicultural long-form question-answering dataset, which originated as a subset of the MM-Eval benchmark. MMQA features long-form question-answer pairs that inquire about culture-related contexts in seven… See the full description on the dataset page: https://huggingface.co/datasets/prometheus-eval/MMQA.
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Repository: https://github.com/guijinSON/MM-Eval Paper: https://arxiv.org/abs/2410.17578 Point of Contact:spthsrbwls123@yonsei.ac.kr / dkyoon@kaist.ac.kr
Multilingual Multicultural-Question Answering (MMQA)
MMQA is a multilingual and multicultural long-form question-answering dataset, which originated as a subset of the MM-Eval benchmark. MMQA features long-form question-answer pairs that inquire about culture-related contexts in seven… See the full description on the dataset page: https://huggingface.co/datasets/prometheus-eval/MMQA.