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{"dialogues": {"description": "The Schema-Guided Dialogue dataset (SGD) was developed for the Dialogue State Tracking task of the Eights Dialogue Systems Technology Challenge (dstc8).\nThe SGD dataset consists of over 18k annotated multi-domain, task-oriented conversations between a human and a virtual assistant.\nThese conversations involve interactions with services and APIs spanning 17 domains, ranging from banks and events to media, calendar, travel, and weather.\nFor most of these domains, the SGD dataset contains multiple different APIs, many of which have overlapping functionalities but different interfaces,\nwhich reflects common real-world scenarios.\n", "citation": "@inproceedings{aaai/RastogiZSGK20,\n  author    = {Abhinav Rastogi and\n               Xiaoxue Zang and\n               Srinivas Sunkara and\n               Raghav Gupta and\n               Pranav Khaitan},\n  title     = {Towards Scalable Multi-Domain Conversational Agents: The Schema-Guided\n               Dialogue Dataset},\n  booktitle = {The Thirty-Fourth {AAAI} Conference on Artificial Intelligence, {AAAI}\n               2020, The Thirty-Second Innovative Applications of Artificial Intelligence\n               Conference, {IAAI} 2020, The Tenth {AAAI} Symposium on Educational\n               Advances in Artificial Intelligence, {EAAI} 2020, New York, NY, USA,\n               February 7-12, 2020},\n  pages     = {8689--8696},\n  publisher = {{AAAI} Press},\n  year      = {2020},\n  url       = {https://aaai.org/ojs/index.php/AAAI/article/view/6394}\n}\n", "homepage": "https://github.com/google-research-datasets/dstc8-schema-guided-dialogue", "license": "CC BY-SA 4.0", "features": {"dialogue_id": {"dtype": "string", "id": null, "_type": "Value"}, "services": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "turns": {"feature": {"speaker": {"num_classes": 2, "names": ["USER", "SYSTEM"], "names_file": null, "id": null, 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