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@@ -19,7 +19,7 @@ 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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- This language-music model is available for online use and experience on [Textune: Generating Tune from Text](https://huggingface.co/spaces/sander-wood/textune). With this online platform, you can easily input your desired text descriptions and receive a generated sheet music output from the model.
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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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  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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+ This language-music model is available for online use and experience on [Textune: Generating Tune from Text](https://huggingface.co/spaces/sander-wood/text-to-music). With this online platform, you can easily input your desired text descriptions and receive a generated sheet music output from the model.
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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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