| # MuTual | |
| ### Paper | |
| Title: `MuTual: A Dataset for Multi-Turn Dialogue Reasoning` | |
| Abstract: https://www.aclweb.org/anthology/2020.acl-main.130/ | |
| MuTual is a retrieval-based dataset for multi-turn dialogue reasoning, which is | |
| modified from Chinese high school English listening comprehension test data. | |
| Homepage: https://github.com/Nealcly/MuTual | |
| ### Citation | |
| ``` | |
| @inproceedings{mutual, | |
| title = "MuTual: A Dataset for Multi-Turn Dialogue Reasoning", | |
| author = "Cui, Leyang and Wu, Yu and Liu, Shujie and Zhang, Yue and Zhou, Ming" , | |
| booktitle = "Proceedings of the 58th Conference of the Association for Computational Linguistics", | |
| year = "2020", | |
| publisher = "Association for Computational Linguistics", | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet. | |
| #### Tasks | |
| * `mutual` | |
| * `mutual_plus` | |
| ### Checklist | |
| For adding novel benchmarks/datasets to the library: | |
| * [ ] Is the task an existing benchmark in the literature? | |
| * [ ] Have you referenced the original paper that introduced the task? | |
| * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test? | |
| If other tasks on this dataset are already supported: | |
| * [ ] Is the "Main" variant of this task clearly denoted? | |
| * [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates? | |
| * [ ] Have you noted which, if any, published evaluation setups are matched by this variant? | |