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Dataset Description

  • Homepage:
  • **Repository: https://github.com/minjechoi/SOCKET
  • **Paper: Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark link
  • Leaderboard:
  • Point of Contact:

Dataset Summary

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.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

English

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

This benchmark is created by aggregating several existing NLP datasets that measure different aspects of social information.

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@misc{choi2023llms, title={Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark}, author={Minje Choi and Jiaxin Pei and Sagar Kumar and Chang Shu and David Jurgens}, year={2023}, eprint={2305.14938}, archivePrefix={arXiv}, primaryClass={cs.CL} }

Contributions

[More Information Needed]