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# 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?
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