| # SciQ | |
| ### Paper | |
| Title: `Crowdsourcing Multiple Choice Science Questions` | |
| Abstract: https://aclanthology.org/W17-4413.pdf | |
| The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, | |
| Chemistry and Biology, among others. The questions are in multiple-choice format | |
| with 4 answer options each. For the majority of the questions, an additional paragraph | |
| with supporting evidence for the correct answer is provided. | |
| Homepage: https://allenai.org/data/sciq | |
| ### Citation | |
| ``` | |
| @inproceedings{Welbl2017CrowdsourcingMC, | |
| title={Crowdsourcing Multiple Choice Science Questions}, | |
| author={Johannes Welbl and Nelson F. Liu and Matt Gardner}, | |
| booktitle={NUT@EMNLP}, | |
| year={2017} | |
| } | |
| ``` | |
| ### Groups and Tasks | |
| #### Groups | |
| * Not part of a group yet. | |
| #### Tasks | |
| * `sciq` | |
| ### 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? | |