
# 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]
license:cc-by-4.0 arxiv:2305.14938 region:us
{"license": "cc-by-4.0"}
TAGS
#license-cc-by-4.0 #arxiv-2305.14938 #region-us 


# Dataset Card for Dataset Name

## Dataset Description

- Homepage: 
- Repository: URL
- 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



### Languages

English

## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

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

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing 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


# Dataset Card for Dataset Name ## Dataset Description

- Homepage: 
- Repository: URL
- 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 ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation

This benchmark is created by aggregating several existing NLP datasets that measure different aspects of social information. ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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
TAGS
#license-cc-by-4.0 #arxiv-2305.14938 #region-us 
 # Dataset Card for Dataset Name ## Dataset Description

- Homepage: 
- Repository: URL
- 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 ### Languages

English ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation

This benchmark is created by aggregating several existing NLP datasets that measure different aspects of social information. ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing 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
passage: TAGS
#license-cc-by-4.0 #arxiv-2305.14938 #region-us 
# Dataset Card for Dataset Name## Dataset Description

- Homepage: 
- Repository: URL
- 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### Languages

English## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation

This benchmark is created by aggregating several existing NLP datasets that measure different aspects of social information.### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing 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