| # Task-name | |
| ### Paper | |
| Title: `COMMONSENSEQA: A Question Answering Challenge Targeting | |
| Commonsense Knowledge` | |
| Abstract: https://arxiv.org/pdf/1811.00937.pdf | |
| CommonsenseQA is a multiple-choice question answering dataset that requires different types of commonsense knowledge to predict the correct answers. | |
| It contains 12,102 questions with one correct answer and four distractor answers. | |
| Homepage: https://www.tau-nlp.org/commonsenseqa | |
| ### Citation | |
| ``` | |
| @inproceedings{talmor-etal-2019-commonsenseqa, | |
| title = "{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge", | |
| author = "Talmor, Alon and | |
| Herzig, Jonathan and | |
| Lourie, Nicholas and | |
| Berant, Jonathan", | |
| booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)", | |
| month = jun, | |
| year = "2019", | |
| address = "Minneapolis, Minnesota", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/N19-1421", | |
| doi = "10.18653/v1/N19-1421", | |
| pages = "4149--4158", | |
| archivePrefix = "arXiv", | |
| eprint = "1811.00937", | |
| primaryClass = "cs", | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet. | |
| #### Tasks | |
| * `commonsense_qa`: Represents the "random" split from the paper. Uses an MMLU-style prompt, as (presumably) used by Llama evaluations. | |
| ### Checklist | |
| For adding novel benchmarks/datasets to the library: | |
| * [x] Is the task an existing benchmark in the literature? | |
| * [x] Have you referenced the original paper that introduced the task? | |
| * [x] 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? | |