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import dataclasses |
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import itertools |
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from pathlib import Path |
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from typing import List |
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import datasets |
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datasets.logging.set_verbosity_info() |
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_DESCRIPTION = """\ |
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Dataset of music tablature, in alphaTex (https://alphatab.net/docs/alphatex) |
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format, converted from Guitar Pro files (gp3, gp4, gp5, which are downloaded |
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from https://rutracker.org/forum/viewtopic.php?t=2888130 |
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""" |
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class Builder(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.5.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"text": datasets.Value("string"), |
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"file": datasets.Value("string"), |
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} |
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), |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager): |
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data_dir = dl_manager.download_and_extract("data.zip") |
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if paths := list(Path(data_dir).glob("**/*.tex")): |
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print(f"Found {len(paths)} AlphaTex files") |
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else: |
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raise ValueError(f"No GP files found in {data_dir}") |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"filepaths": paths, |
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}, |
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), |
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] |
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def _generate_examples(self, filepaths): |
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for idx, path in enumerate(filepaths): |
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with open(path) as f: |
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yield idx, {"file": path.name, "text": f.read()} |
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