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Dataset: ai2_arc 🏷
Update on GitHub

How to load this dataset directly with the 🤗/datasets library:





#### Description

A new dataset of 7,787 genuine grade-school level, multiple-choice science questions, assembled to encourage research in advanced question-answering. The dataset is partitioned into a Challenge Set and an Easy Set, where the former contains only questions answered incorrectly by both a retrieval-based algorithm and a word co-occurrence algorithm. We are also including a corpus of over 14 million science sentences relevant to the task, and an implementation of three neural baseline models for this dataset. We pose ARC as a challenge to the community.

#### Citation

@article{allenai:arc,
author    = {Peter Clark  and Isaac Cowhey and Oren Etzioni and Tushar Khot and
Ashish Sabharwal and Carissa Schoenick and Oyvind Tafjord},
title     = {Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge},
journal   = {arXiv:1803.05457v1},
year      = {2018},
}

#### Models trained or fine-tuned on ai2_arc

None yet. Start fine-tuning now =)