TheoremQA: A Theorem-driven Question Answering Dataset

Research article (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023) · cited 30× · AI/ML
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TheoremQA: A Theorem-driven Question Answering Dataset

Summary

TheoremQA: A Theorem-driven Question Answering Dataset is a scholarly article[1].

Key Facts

  • TheoremQA: A Theorem-driven Question Answering Dataset's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). TheoremQA: A Theorem-driven Question Answering Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/theoremqa-a-theorem-driven-question-answering-dataset
MLA “TheoremQA: A Theorem-driven Question Answering Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/theoremqa-a-theorem-driven-question-answering-dataset.
BibTeX @misc{4ortxyz_theoremqa-a-theorem-driven-question-answering-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TheoremQA: A Theorem-driven Question Answering Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/theoremqa-a-theorem-driven-question-answering-dataset}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TheoremQA: A Theorem-driven Question Answering Dataset — https://4ort.xyz/entity/theoremqa-a-theorem-driven-question-answering-dataset (retrieved 2026-05-24)

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