Blablablab/SOCKET
收藏Hugging Face2023-11-12 更新2024-03-04 收录
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---
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} }



