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knowIT VQA
2D Classification
许可协议: Unknown

Overview

KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered.

Citation

Please use the following citation when referencing the dataset:

@InProceedings{garcia2020knowit,
   author    = {Noa Garcia and Mayu Otani and Chenhui Chu and Yuta Nakashima},
   title     = {KnowIT VQA: Answering Knowledge-Based Questions about Videos},
   booktitle = {Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence},
   year      = {2020},
}
数据概要
数据格式
text,
数据量
24.285K
文件大小
13.43MB
发布方
Osaka University
Osaka University was one of Imperial Universities in Japan, one of the Designated National University[4] and selected as a Top Type university of Top Global University Project by the Japanese government.
| 数据量 24.285K | 大小 13.43MB
knowIT VQA
2D Classification
许可协议: Unknown

Overview

KnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered.

Citation

Please use the following citation when referencing the dataset:

@InProceedings{garcia2020knowit,
   author    = {Noa Garcia and Mayu Otani and Chenhui Chu and Yuta Nakashima},
   title     = {KnowIT VQA: Answering Knowledge-Based Questions about Videos},
   booktitle = {Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence},
   year      = {2020},
}
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