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# ARC
### Paper
Title: Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Abstract: https://arxiv.org/abs/1803.05457
The ARC dataset consists of 7,787 science exam questions drawn from a variety
of sources, including science questions provided under license by a research
partner affiliated with AI2. These are text-only, English language exam questions
that span several grade levels as indicated in the files. Each question has a
multiple choice structure (typically 4 answer options). The questions are sorted
into a Challenge Set of 2,590 “hard” questions (those that both a retrieval and
a co-occurrence method fail to answer correctly) and an Easy Set of 5,197 questions.
Homepage: https://allenai.org/data/arc
### Citation
```
@article{Clark2018ThinkYH,
title={Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
author={Peter Clark and Isaac Cowhey and Oren Etzioni and Tushar Khot and Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
journal={ArXiv},
year={2018},
volume={abs/1803.05457}
}
```
### Groups and Tasks
#### Groups
* `ai2_arc`: Evaluates `arc_easy` and `arc_challenge`
#### Tasks
* `arc_easy`
* `arc_challenge`
### 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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