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@@ -203,7 +203,7 @@ and music knowledge & music summary data) from MusicPile. Check our [paper](http
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  1. Music understanding abilities are evaluated on the [MusicTheoryBench](https://huggingface.co/datasets/m-a-p/MusicTheoryBench). The following figure is zero-shot accuracy on MusicTheoryBench.
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  We included GPT-3.5, GPT-4, LLaMA2-7B-Base, ChatMusician-Base, and ChatMusician. The blue bar represents the performance on the music knowledge metric, and the red bar represents the music reasoning metric. The dashed line corresponds to a random baseline, with a score of 25%.
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  <!-- ![MusicTheoryBench_result](./MusicTheoryBench_result_plt.png) -->
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- <img src="./MusicTheoryBench_result_plt.png" alt="drawing" width="200"/>
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  3. General language abilities of ChatMusician are evaluated on the [Massive Multitask Language Understanding (MMLU) dataset](https://huggingface.co/datasets/lukaemon/mmlu).
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  1. Music understanding abilities are evaluated on the [MusicTheoryBench](https://huggingface.co/datasets/m-a-p/MusicTheoryBench). The following figure is zero-shot accuracy on MusicTheoryBench.
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  We included GPT-3.5, GPT-4, LLaMA2-7B-Base, ChatMusician-Base, and ChatMusician. The blue bar represents the performance on the music knowledge metric, and the red bar represents the music reasoning metric. The dashed line corresponds to a random baseline, with a score of 25%.
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  <!-- ![MusicTheoryBench_result](./MusicTheoryBench_result_plt.png) -->
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+ <img src="./MusicTheoryBench_result_plt.png" alt="drawing" width="800"/>
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  3. General language abilities of ChatMusician are evaluated on the [Massive Multitask Language Understanding (MMLU) dataset](https://huggingface.co/datasets/lukaemon/mmlu).
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