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knowIT VQA
Text
NLP
|...
License: 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},
}
Data Summary
Type
Text,
Amount
24.285K
Size
4.59MB
Provided by
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.
| Amount 24.285K | Size 4.59MB
knowIT VQA
Text
NLP
License: 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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