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# Dataset Card for "TheoremQA"
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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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dataset = load_dataset("wenhu/TheoremQA")
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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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## Arxiv Paper:
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https://arxiv.org/abs/2305.12524
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## Code
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https://github.com/wenhuchen/TheoremQA/tree/main
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