Datasets:
License:
| import os | |
| import random | |
| import datasets | |
| from midi2abc import midi2abc | |
| from data import rm_duplicates_in_folder | |
| _HOMEPAGE = f"https://huggingface.co/datasets/MuGeminorum/{os.path.basename(__file__).split('.')[0]}" | |
| _CITATION = """\ | |
| @dataset{genshin_piano, | |
| author = {MuGeminorum Studio}, | |
| title = {Genshin Piano Songs}, | |
| month = {nov}, | |
| year = {2023}, | |
| publisher = {HF}, | |
| version = {1.1}, | |
| url = {https://huggingface.co/datasets/MuGeminorum/genshin_piano} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| This database contains genshin piano songs downloaded from musescore | |
| """ | |
| _URL = f"{_HOMEPAGE}/resolve/main/data/dataset.zip" | |
| class genshin_piano(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| features=datasets.Features( | |
| { | |
| "midi": datasets.Value("string"), | |
| "abc": datasets.Value("string"), | |
| "tag": datasets.Value("string") | |
| } | |
| ), | |
| supervised_keys=("abc", "tags"), | |
| homepage=_HOMEPAGE, | |
| license="mit", | |
| citation=_CITATION, | |
| description=_DESCRIPTION | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_files = dl_manager.download_and_extract(_URL) | |
| files = dl_manager.iter_files([data_files]) | |
| dataset = [] | |
| extract_dir = os.path.dirname(data_files[0]) | |
| duplist = rm_duplicates_in_folder(extract_dir) | |
| for path in files: | |
| if (not path in duplist) and (os.path.basename(path).endswith(".mid")): | |
| dataset.append(path) | |
| random.shuffle(dataset) | |
| # data_count = len(dataset) | |
| # p80 = int(data_count * 0.8) | |
| # p90 = int(data_count * 0.9) | |
| # return [ | |
| # datasets.SplitGenerator( | |
| # name=datasets.Split.TRAIN, | |
| # gen_kwargs={ | |
| # "files": dataset[:p80] | |
| # } | |
| # ), | |
| # datasets.SplitGenerator( | |
| # name=datasets.Split.VALIDATION, | |
| # gen_kwargs={ | |
| # "files": dataset[p80:p90] | |
| # } | |
| # ), | |
| # datasets.SplitGenerator( | |
| # name=datasets.Split.TEST, | |
| # gen_kwargs={ | |
| # "files": dataset[p90:] | |
| # } | |
| # ) | |
| # ] | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "files": dataset | |
| } | |
| ) | |
| ] | |
| def _generate_examples(self, files): | |
| for i, path in enumerate(files): | |
| yield i, { | |
| "midi": path, | |
| "abc": midi2abc(path), | |
| "tag": os.path.basename(path)[:-4].encode('cp437').decode('gbk') | |
| } | |