lm-evaluation-harness/lm_eval/tasks/sciq/README.md

# 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?