Datasets:
Delete legacy JSON metadata
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albertvillanova
HF staff
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dataset_infos.json
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{"flights": {"description": "Taskmaster is dataset for goal oriented conversations. The Taskmaster-2 dataset consists of 17,289 dialogs in the seven domains which include restaurants, food ordering, movies, hotels, flights, music and sports. Unlike Taskmaster-1, which includes both written \"self-dialogs\" and spoken two-person dialogs, Taskmaster-2 consists entirely of spoken two-person dialogs. In addition, while Taskmaster-1 is almost exclusively task-based, Taskmaster-2 contains a good number of search- and recommendation-oriented dialogs. All dialogs in this release were created using a Wizard of Oz (WOz) methodology in which crowdsourced workers played the role of a 'user' and trained call center operators played the role of the 'assistant'. In this way, users were led to believe they were interacting with an automated system that \u201cspoke\u201d using text-to-speech (TTS) even though it was in fact a human behind the scenes. 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As a result, users could express themselves however they chose in the context of an automated interface.\n", "citation": "@inproceedings{48484,\ntitle\t= {Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset},\nauthor\t= {Bill Byrne and Karthik Krishnamoorthi and Chinnadhurai Sankar and Arvind Neelakantan and Daniel Duckworth and Semih Yavuz and Ben Goodrich and Amit Dubey and Kyu-Young Kim and Andy Cedilnik},\nyear\t= {2019}\n}\n", "homepage": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-2-2020", "license": "", "features": {"conversation_id": {"dtype": "string", "id": null, "_type": "Value"}, "instruction_id": {"dtype": "string", "id": null, "_type": "Value"}, "utterances": [{"index": {"dtype": "int32", "id": null, "_type": "Value"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "segments": [{"start_index": {"dtype": "int32", "id": null, "_type": "Value"}, "end_index": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "annotations": [{"name": {"dtype": "string", "id": null, "_type": "Value"}}]}]}]}, "post_processed": null, "supervised_keys": null, "builder_name": "taskmaster2", "config_name": "hotels", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7436667, "num_examples": 2357, "dataset_name": "taskmaster2"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/Taskmaster/master/TM-2-2020/data/hotels.json": {"num_bytes": 22507266, "checksum": "975b0242f1e37ea1ab94ccedd7e0d6ee5831599d5df1f16143e71110d6c6006a"}}, "download_size": 22507266, "post_processing_size": null, "dataset_size": 7436667, "size_in_bytes": 29943933}, "movies": {"description": "Taskmaster is dataset for goal oriented conversationas. 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As a result, users could express themselves however they chose in the context of an automated interface.\n", "citation": "@inproceedings{48484,\ntitle\t= {Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset},\nauthor\t= {Bill Byrne and Karthik Krishnamoorthi and Chinnadhurai Sankar and Arvind Neelakantan and Daniel Duckworth and Semih Yavuz and Ben Goodrich and Amit Dubey and Kyu-Young Kim and Andy Cedilnik},\nyear\t= {2019}\n}\n", "homepage": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-2-2020", "license": "", "features": {"conversation_id": {"dtype": "string", "id": null, "_type": "Value"}, "instruction_id": {"dtype": "string", "id": null, "_type": "Value"}, "utterances": [{"index": {"dtype": "int32", "id": null, "_type": "Value"}, "speaker": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "segments": [{"start_index": {"dtype": "int32", "id": null, "_type": "Value"}, "end_index": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "annotations": [{"name": {"dtype": "string", "id": null, "_type": "Value"}}]}]}]}, "post_processed": null, "supervised_keys": null, "builder_name": "taskmaster2", "config_name": "movies", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7112301, "num_examples": 3056, "dataset_name": "taskmaster2"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/Taskmaster/master/TM-2-2020/data/movies.json": {"num_bytes": 21189893, "checksum": "6f67c9a1f04abc111186e5bcfbe3050be01d0737fd6422901402715bc1f3dd0d"}}, "download_size": 21189893, "post_processing_size": null, "dataset_size": 7112301, "size_in_bytes": 28302194}, "music": {"description": "Taskmaster is dataset for goal oriented conversationas. 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