google/air_dialogue

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The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

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Citation text from the card

@inproceedings{wei-etal-2018-airdialogue,
    title = "{A}ir{D}ialogue: An Environment for Goal-Oriented Dialogue Research",
    author = "Wei, Wei  and
      Le, Quoc  and
      Dai, Andrew  and
      Li, Jia",
    editor = "Riloff, Ellen  and
      Chiang, David  and
      Hockenmaier, Julia  and
      Tsujii, Jun{'}ichi",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing",
    month = oct # "-" # nov,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D18-1419",
    doi = "10.18653/v1/D18-1419",
    pages = "3844--3854",
    abstract = "Recent progress in dialogue generation has inspired a number of studies on dialogue systems that are capable of accomplishing tasks through natural language interactions. A promising direction among these studies is the use of reinforcement learning techniques, such as self-play, for training dialogue agents. However, current datasets are limited in size, and the environment for training agents and evaluating progress is relatively unsophisticated. We present AirDialogue, a large dataset that contains 301,427 goal-oriented conversations. To collect this dataset, we create a context-generator which provides travel and flight restrictions. We then ask human annotators to play the role of a customer or an agent and interact with the goal of successfully booking a trip given the restrictions.

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dataset_licence({ "id": "google/air_dialogue" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0