QuaRTz Dataset NEW
QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships, as described in QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions (EMNLP 2019). Each question is paired with one of 405 different background sentences (sometimes short paragraphs).
A dataset of detailed problem domain classification labels for each of the 7,787 multiple-choice science questions found in the AI2 Reasoning Challenge (ARC) dataset, to enable targeted pairing of questions with problem-specific solvers. Also included is a taxonomy of 462 detailed problem domains for grade-school science, organized into 6 levels of specificity.