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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.