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README.md
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MusicTheoryBench is a benchmark designed to **assess the advanced music understanding capabilities** of current LLMs.
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## Dataset Structure
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MusicTheoryBench consists of 372 questions, formatted as multiple-choice questions, each with 4 options, among which only one is correct. There are 269 questions on music knowledge and 98 questions on music reasoning, along with 5 questions held out for enabling few-shot evaluation.
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MusicTheoryBench is a benchmark designed to **assess the advanced music understanding capabilities** of current LLMs.
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You can easily load it:
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```
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from datasets import load_dataset
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dataset = load_dataset("m-a-p/MusicTheoryBench")
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```
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The evaluation code will be available in the coming weeks.
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## Dataset Structure
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MusicTheoryBench consists of 372 questions, formatted as multiple-choice questions, each with 4 options, among which only one is correct. There are 269 questions on music knowledge and 98 questions on music reasoning, along with 5 questions held out for enabling few-shot evaluation.
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