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  ---
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  # Dataset Card for "TheoremQA"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "TheoremQA"
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+ ## Introduction
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+ We propose the first question-answering dataset driven by STEM theorems. We annotated 800 QA pairs covering 350+ theorems spanning across Math, EE&CS, Physics and Finance. The dataset is collected by human experts with very high quality. We provide the dataset as a new benchmark to test the limit of large language models to apply theorems to solve challenging university-level questions. We provide a pipeline in the following to prompt LLMs and evaluate their outputs with WolframAlpha.
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+ ## How to use TheoremQA
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+ ```
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("wenhu/TheoremQA")
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+
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+ for d in dataset['test']:
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+ print(d)
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+ ```
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+ To use the images, try to download images from images.zip in https://huggingface.co/datasets/wenhu/TheoremQA/blob/main/images.zip. The image is under the `Picture' field.
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+
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+ ## Arxiv Paper:
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+ https://arxiv.org/abs/2305.12524
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+
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+ ## Code
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+ https://github.com/wenhuchen/TheoremQA/tree/main