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Blablablab/SOCKET

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Hugging Face2023-11-12 更新2024-03-04 收录
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资源简介:
--- license: cc-by-4.0 --- # Dataset Card for Dataset Name ## 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](https://arxiv.org/abs/2305.14938) - **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](https://arxiv.org/abs/2305.14938). ### 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]
提供机构:
Blablablab
原始信息汇总

数据集概述

数据集描述

  • 名称: Dataset Name
  • 语言: 英语
  • 摘要: 本数据集包含用于论文《Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark》中的任务。

数据集结构

  • 创建方式: 该基准是通过聚合多个测量不同社会信息方面的现有NLP数据集创建的。

许可证

  • 许可证: cc-by-4.0

引用信息

@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} }

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