SCIMAT: Science and Mathematics Dataset
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Abstract (arXiv)
In this work, we announce a comprehensive well curated and opensource dataset with millions of samples for pre-college and college level problems in mathematicsand science. A preliminary set of results using transformer architecture with character to character encoding is shown. The dataset identifies some challenging problem and invites research on better architecture search
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 28 references that are in the map. First posted on arXiv 30 Sep 2021.
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References · 5
- 2017Attention Is All You Needcited by 60,361
- 2018Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengecited by 4,886
- 2020Rethinking Attention with Performerscited by 1,601
- 2019Analysing Mathematical Reasoning Abilities of Neural Modelscited by 335
- 2015Towards AI-Complete Question Answering: A Set of Prerequisite Toy Taskscited by 314
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