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{
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"description": "The Taskmaster-3 (aka TicketTalk) dataset consists of 23,789 movie ticketing dialogs\n(located in Taskmaster/TM-3-2020/data/). By \"movie ticketing\" we mean conversations\nwhere the customer's goal is to purchase tickets after deciding on theater, time,\nmovie name, number of tickets, and date, or opt out of the transaction.\nThe columns are gem_id, 0, 1 for serial numbering, 2 for the text dialog and id\nfor the default id by the authors.\n",
"citation": "@article{byrne2020tickettalk,\n title={TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems},\n author={Byrne, Bill and Krishnamoorthi, Karthik and Ganesh, Saravanan and Kale, Mihir Sanjay},\n journal={arXiv preprint arXiv:2012.12458},\n year={2020}\n}\n",
"homepage": "https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020",
"license": "CC BY 4.0",
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}
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