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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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