| {"default": {"description": "Charades is dataset composed of 9848 videos of daily indoors activities collected through Amazon Mechanical Turk. 267 different users were presented with a sentence, that includes objects and actions from a fixed vocabulary, and they recorded a video acting out the sentence (like in a game of Charades). The dataset contains 66,500 temporal annotations for 157 action classes, 41,104 labels for 46 object classes, and 27,847 textual descriptions of the videos. \n", "citation": "\n@article{sigurdsson2016hollywood,\n author = {Gunnar A. Sigurdsson and G{\"u}l Varol and Xiaolong Wang and Ivan Laptev and Ali Farhadi and Abhinav Gupta},\n title = {Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding},\n journal = {ArXiv e-prints},\n eprint = {1604.01753}, \n year = {2016},\n url = {http://arxiv.org/abs/1604.01753},\n}\n", "homepage": "", "license": "", "features": {"video_id": {"dtype": "string", "id": null, "_type": "Value"}, "video": {"dtype": "string", "id": null, "_type": "Value"}, "subject": {"dtype": "string", "id": null, "_type": "Value"}, "scene": {"dtype": "string", "id": null, "_type": "Value"}, "quality": {"dtype": "int32", "id": null, "_type": "Value"}, "relevance": {"dtype": "int32", "id": null, "_type": "Value"}, "verified": {"dtype": "string", "id": null, "_type": "Value"}, "script": {"dtype": "string", "id": null, "_type": "Value"}, "objects": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "descriptions": {"feature": 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