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README.md
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@@ -17,6 +17,8 @@ This language-music model takes [BART-base](https://huggingface.co/facebook/bart
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It is capable of generating complete and semantically consistent sheet music directly from descriptions in natural language based on text. To the best of our knowledge, this is the first model that achieves text-conditional symbolic music generation which is trained on real text-music pairs, and the music is generated entirely by the model and without any hand-crafted rules.
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## Intended uses & limitations
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You can use this model for text-conditional music generation. All scores generated by this model can be written on one stave (for vocal solo or instrumental solo) in standard classical notation, and are in a variety of styles, e.g., blues, classical, folk, jazz, pop, and world music. We recommend using the script in [this repository](https://github.com/sander-wood/text-to-music) for inference. The generated tunes are in ABC notation, and can be converted to sheet music or audio using [this website](https://ldzhangyx.github.io/abc/), or [this software](https://sourceforge.net/projects/easyabc/).
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It is capable of generating complete and semantically consistent sheet music directly from descriptions in natural language based on text. To the best of our knowledge, this is the first model that achieves text-conditional symbolic music generation which is trained on real text-music pairs, and the music is generated entirely by the model and without any hand-crafted rules.
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Due to copyright reasons, we are unable to publicly release the training dataset of this model. Instead, we have made available the [WikiMusicText](https://huggingface.co/datasets/sander-wood/wikimusictext) (WikiMT) dataset, which includes 1010 pairs of text-music data and can be used to evaluate the performance of language-music models.
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## Intended uses & limitations
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You can use this model for text-conditional music generation. All scores generated by this model can be written on one stave (for vocal solo or instrumental solo) in standard classical notation, and are in a variety of styles, e.g., blues, classical, folk, jazz, pop, and world music. We recommend using the script in [this repository](https://github.com/sander-wood/text-to-music) for inference. The generated tunes are in ABC notation, and can be converted to sheet music or audio using [this website](https://ldzhangyx.github.io/abc/), or [this software](https://sourceforge.net/projects/easyabc/).
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