| # CoQA | |
| ### Paper | |
| Title: `CoQA: A Conversational Question Answering Challenge` | |
| Abstract: https://arxiv.org/pdf/1808.07042.pdf | |
| CoQA is a large-scale dataset for building Conversational Question Answering | |
| systems. The goal of the CoQA challenge is to measure the ability of machines to | |
| understand a text passage and answer a series of interconnected questions that | |
| appear in a conversation. | |
| Homepage: https://stanfordnlp.github.io/coqa/ | |
| ### Citation | |
| ``` | |
| BibTeX-formatted citation goes here | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet | |
| #### Tasks | |
| * `coqa` | |
| ### 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? | |