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@@ -23,9 +23,9 @@ For those looking to interact with ABC notation in various ways, there are sever
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  The **Irish Massive ABC Notation (IrishMAN)** dataset includes 216,284 Irish music tunes transcribed in ABC notation. These tunes were collected from thesession.org and abcnotation.com, both renowned for sharing traditional music. To ensure uniformity in formatting, all tunes were converted to XML and then back to ABC using [scripts](https://wim.vree.org/svgParse/), and fields containing natural language (e.g., titles and lyrics) were removed.
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- Each tune is automatically annotated with control codes derived from ABC symbols, as described in below. These control codes offer insights into the musical forms and structures of each composition.
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- Among the rich features of the IrishMAN dataset is a specific [subset](https://huggingface.co/datasets/sander-wood/irishman/blob/main/harmony.json) that contains over 40,000 tunes, each human-annotated with chord symbols. This addition considerably broadens the dataset's scope, making it especially suitable for applications in melody harmonization and harmonic analysis.
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  A noteworthy aspect is the copyright status. All tunes in the dataset are in the public domain, ensuring ethical and legal usage for research and creative projects.
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  The **Irish Massive ABC Notation (IrishMAN)** dataset includes 216,284 Irish music tunes transcribed in ABC notation. These tunes were collected from thesession.org and abcnotation.com, both renowned for sharing traditional music. To ensure uniformity in formatting, all tunes were converted to XML and then back to ABC using [scripts](https://wim.vree.org/svgParse/), and fields containing natural language (e.g., titles and lyrics) were removed.
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+ Each tune is automatically annotated with control codes derived from ABC symbols, as described in Section 2.2. These control codes offer insights into the musical forms and structures of each composition.
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+ In the IrishMAN dataset, a [music21](https://web.mit.edu/music21/doc/index.html#)-filtered subset includes 34,150 tunes, each of which has been human-annotated with chord symbols. It is from this very subset that TunesFormer developed its capacity to generate lead sheets.
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  A noteworthy aspect is the copyright status. All tunes in the dataset are in the public domain, ensuring ethical and legal usage for research and creative projects.
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