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