Dataset Card for response_generation
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [info]
- Repository: [info]
- Paper: [info]
- Leaderboard: [info]
- Point of Contact: [info]
Dataset Summary
[More Information Needed]
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[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
@article{naous2022acmtallip,
title={Open-Domain Response Generation in Low-Resource Settings using Self-Supervised Pre-training of Warm-Started Transformers},
author={Tarek Naous, Zahraa Bassyouni, Bassel Moussi, Hazem Hajj, Wassim El Hajj, Khaled Shaban},
journal={ACM Transactions on Asian and Low-Resource Language Information Processing},
year={2022}
}
Contributions
Thanks to @github-username for adding this dataset.