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--- |
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license: cc |
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task_categories: |
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- text-classification |
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- table-question-answering |
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- text-generation |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Commonsense-Dialogues Dataset |
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This is the Commonsense-Dialogues, a crowdsourced dataset of ~11K dialogues grounded in social contexts involving utilization of commonsense. |
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The dataset was released by Amazon Alexa AI team in collaboration with the University of Southern California (USC), and also available [Commonsense-Dialogues repo](https://github.com/alexa/Commonsense-Dialogues/tree/main) |
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The social contexts used were sourced from the **train** split of the [SocialIQA](https://leaderboard.allenai.org/socialiqa/submissions/get-started) dataset, a multiple-choice question-answering based social commonsense reasoning benchmark. |
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For the collection of the Commonsense-Dialogues dataset, each Turker was presented a social context and asked to write a dialogue of 4-6 turns between two people based on the event(s) described in the context. The Turker was asked to alternate between the roles of an individual referenced in the context and a 3rd party friend. See the following dialogues as examples: |
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``` |
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"1": { # dialogue_id |
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"context": "Sydney met Carson's mother for the first time last week. He liked her.", # multiple individuals in the context: Sydney and Carson |
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"speaker": "Sydney", # role 1 = Sydney, role 2 = a third-person friend of Sydney |
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"turns": [ |
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"I met Carson's mother last week for the first time.", |
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"How was she?", |
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"She turned out to be really nice. I like her.", |
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"That's good to hear.", |
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"It is, especially since Carson and I are getting serious.", |
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"Well, at least you'll like your in-law if you guys get married." |
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] |
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} |
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"2": { |
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"context": "Kendall had a party at Jordan's house but was found out to not have asked and just broke in.", |
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"speaker": "Kendall", |
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"turns": [ |
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"Did you hear about my party this weekend at Jordan\u2019s house?", |
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"I heard it was amazing, but that you broke in.", |
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"That was a misunderstanding, I had permission to be there.", |
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"Who gave you permission?", |
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"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.", |
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"Ok cool, I hope everything gets resolved." |
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] |
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} |
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``` |
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The data consist of 3 subsets: `train.json` has ~9K dialogues, `valid.json` and `test.json` have ~1K dialogues each. Since all the contexts were sourced from the **train** split of SocialIQA, it is imperative to note that any form of **multi-task** training and evaluation with Commonsense-Dialogues and SocialIQA must be done with caution to ensure fair and accurate conclusions. |
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Some statistics about the data are provided below: |
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| Stat | Train | Valid | Test | |
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| ---- | ---- | ---- | ---- | |
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|# of dialogues | 9058 | 1157 | 1158 | |
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|average # of turns in a dialogue | 5.72 | 5.72 | 5.71 | |
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|average # of words in a turn | 12.4 | 12.4 | 12.2 | |
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|# of distinct SocialIQA contexts used | 3672 | 483 | 473 | |
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|average # of dialogues for a SocialIQA context| 2.46 | 2.395 | 2.45 | |
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## Security |
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See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information. |
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## License |
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This repository is licensed under the CC-BY-NC 4.0 License. |
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## Citation |
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If you use this dataset, please cite the following paper: |
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``` |
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@inproceedings{zhou-etal-2021-commonsense, |
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title = "Commonsense-Focused Dialogues for Response Generation: An Empirical Study", |
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author = "Zhou, Pei and |
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Gopalakrishnan, Karthik and |
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Hedayatnia, Behnam and |
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Kim, Seokhwan and |
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Pujara, Jay and |
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Ren, Xiang and |
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Liu, Yang and |
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Hakkani-Tur, Dilek", |
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booktitle = "Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue", |
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year = "2021", |
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address = "Singapore and Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://arxiv.org/abs/2109.06427" |
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} |
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``` |
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Note that the paper uses newly collected dialogues as well as those that were filtered from existing datasets. This repo contains our newly collected dialogues alone. |
