A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.

    "1": {  # dialogue_id
        "context": "Sydney met Carson's mother for the first time last week. He liked her.",   # multiple individuals in the context: Sydney and Carson
        "speaker": "Sydney",   # role 1 = Sydney, role 2 = a third-person friend of Sydney
        "turns": [
            "I met Carson's mother last week for the first time.",
            "How was she?",
            "She turned out to be really nice. I like her.",
            "That's good to hear.",
            "It is, especially since Carson and I are getting serious.",
            "Well, at least you'll like your in-law if you guys get married."
        ]
    }

    "2": {
        "context": "Kendall had a party at Jordan's house but was found out to not have asked and just broke in.",
        "speaker": "Kendall",
        "turns": [
            "Did you hear about my party this weekend at Jordan\u2019s house?",
            "I heard it was amazing, but that you broke in.",
            "That was a misunderstanding, I had permission to be there.",
            "Who gave you permission?",
            "I talked to Jordan about it months ago before he left town to go to school, but he forgot to tell his roommates about it.",
            "Ok cool, I hope everything gets resolved."
        ]
    }

@inproceedings{zhou-etal-2021-commonsense,
    title = "Commonsense-Focused Dialogues for Response Generation: An Empirical Study",
    author = "Zhou, Pei  and
      Gopalakrishnan, Karthik  and
      Hedayatnia, Behnam  and
      Kim, Seokhwan  and
      Pujara, Jay  and
      Ren, Xiang  and
      Liu, Yang  and
      Hakkani-Tur, Dilek",
    booktitle = "Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    year = "2021",
    address = "Singapore and Online",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2109.06427"
}