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license: mit
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---
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---
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license: mit
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task_categories:
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- conversational
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language:
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- en
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- zh
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---
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<p align="center">
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💻 <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>
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</p>
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## Overview
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This a collection of datasets used in the paper titled "Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems".
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The following datasets have been included:
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- Ubuntu Corpus V1
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- Ubuntu Corpus V2
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- PersonaChat
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- Douban Conv Corpus
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All datasets have been standardized to a unified format for research need.
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## Citation
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```
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@inproceedings{song2023uni,
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title={Uni-encoder: A fast and accurate response selection paradigm for generation-based dialogue systems},
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author={Song, Chiyu and He, Hongliang and Yu, Haofei and Fang, Pengfei and Cui, Leyang and Lan, Zhenzhong},
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booktitle={Findings of the Association for Computational Linguistics: ACL 2023},
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pages={6231--6244},
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year={2023}
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}
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```
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