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  license: cc-by-4.0
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+ # Dataset Card for Dataset Name
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+ ## Dataset Description
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+ - **Homepage:**
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+ - **Repository: https://github.com/minjechoi/SOCKET
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+ - **Paper: Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark [link](https://arxiv.org/abs/2305.14938)
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+ - **Leaderboard:**
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+ - **Point of Contact:**
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+
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+ ### Dataset Summary
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+ This Dataset contains the tasks used in the paper "Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark" [link](https://arxiv.org/abs/2305.14938).
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+ ### Supported Tasks and Leaderboards
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+ [More Information Needed]
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+ ### Languages
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+ English
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+ ## Dataset Structure
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+ ### Data Instances
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+ [More Information Needed]
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+ ### Data Fields
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+ [More Information Needed]
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+ ### Data Splits
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+ [More Information Needed]
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+ ## Dataset Creation
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+ This benchmark is created by aggregating several existing NLP datasets that measure different aspects of social information.
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+ ### Curation Rationale
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+ [More Information Needed]
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+ ### Source Data
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+ #### Initial Data Collection and Normalization
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+ [More Information Needed]
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+ #### Who are the source language producers?
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+ [More Information Needed]
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+ ## Considerations for Using the Data
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+ ### Social Impact of Dataset
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+ [More Information Needed]
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+ ### Discussion of Biases
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+ [More Information Needed]
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+ ### Other Known Limitations
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+ [More Information Needed]
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+ ## Additional Information
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+ ### Dataset Curators
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+ [More Information Needed]
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+ ### Licensing Information
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+ [More Information Needed]
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+ ### Citation Information
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+ @misc{choi2023llms,
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+ title={Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark},
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+ author={Minje Choi and Jiaxin Pei and Sagar Kumar and Chang Shu and David Jurgens},
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+ year={2023},
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+ eprint={2305.14938},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ### Contributions
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+ [More Information Needed]