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KUSK dataset
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- Atsushi Hashimoto
- Kyoto Univ. Yoshida Honmachi, Sakyo-ku, Kyoto, Japan
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- Tetsuro Sasada
- Kyoto Univ. Yoshida Honmachi, Sakyo-ku, Kyoto, Japan
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- Yoko Yamakata
- Kyoto Univ. Yoshida Honmachi, Sakyo-ku, Kyoto, Japan
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- Shinsuke Mori
- Kyoto Univ. Yoshida Honmachi, Sakyo-ku, Kyoto, Japan
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- Michihiko Minoh
- Kyoto Univ. Yoshida Honmachi, Sakyo-ku, Kyoto, Japan
Bibliographic Information
- Other Title
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- toward a direct understanding of recipe text and human cooking activity
Description
In this paper, we provide a multimodal dataset for understanding cooking activities. To build the dataset, we instructed the subjects to perform cooking according to instructional texts shown on a display one by one. The instructional texts were generated from flow graphs, which were automatically extracted from recipes sampled from a Web site. The main identity of this dataset is the correspondence between the steps automatically extracted from recipes, and real human activities. Typical uses of our dataset are to construct classifiers for understanding human activities in the kitchen, text generation through observing the activities, and so on.
Journal
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- Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
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Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication 583-588, 2014-09-13
ACM
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Details 詳細情報について
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- CRID
- 1360292618845065984
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- Data Source
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- Crossref
- OpenAIRE