---
license: mit
task_categories:
- conversational
language:
- en
- zh
---
<p align="center">
  💻 <a href="https://github.com/dll-wu/Uni-Encoder" target="_blank">[Github Repo]</a> • 📃 <a href="https://arxiv.org/abs/2106.01263" target="_blank">[Paper]</a>
</p>

## Overview
This a collection of datasets used in the paper titled "Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems".

The following datasets have been included:
  - Ubuntu Corpus V1
  - Ubuntu Corpus V2
  - PersonaChat
  - Douban Conv Corpus

All datasets have been standardized to a unified format for research need.

## Citation
```
@inproceedings{song2023uni,
  title={Uni-encoder: A fast and accurate response selection paradigm for generation-based dialogue systems},
  author={Song, Chiyu and He, Hongliang and Yu, Haofei and Fang, Pengfei and Cui, Leyang and Lan, Zhenzhong},
  booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
  pages={6231--6244},
  year={2023}
}
```