Delete hoyo_pianos.py

hoyo_pianos.py

@@ -1,110 +0,0 @@
-import os
-import shutil
-import random
-import hashlib
-import datasets
-from midi2abc import midi2abc
-
-
-_HOMEPAGE = f"https://huggingface.co/datasets/MuGeminorum/{os.path.basename(__file__).split('.')[0]}"
-
-_CITATION = """\
-@dataset{mihoyo_pianos,
-  author       = {MuGeminorum Studio},
-  title        = {mihoyo game piano songs},
-  month        = {nov},
-  year         = {2023},
-  publisher    = {HF},
-  version      = {1.1},
-  url          = {https://huggingface.co/datasets/MuGeminorum/hoyo_pianos}
-}
-"""
-
-_DESCRIPTION = """\
-This database contains mihoyo game piano songs downloaded from musescore
-"""
-
-_URLS = {
-    "genshin": f"{_HOMEPAGE}/resolve/main/data/genshin.zip",
-    "starail": f"{_HOMEPAGE}/resolve/main/data/starail.zip"
-}
-
-
-class hoyo_pianos(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 _calculate_hash(self, file_path):
-        # 计算文件的哈希值
-        with open(file_path, 'rb') as midi_file:
-            content = midi_file.read()
-            return hashlib.md5(content).hexdigest()
-
-    def _rm_duplicates_in_folder(self, input_folder):
-        # 用于存储文件哈希值的字典
-        hash_dict = {}
-        duplist = []
-        # 遍历输入文件夹
-        for root, _, files in os.walk(input_folder):
-            for file in files:
-                file_path = os.path.join(root, file)
-                file_hash = self._calculate_hash(file_path)
-
-                # 检查文件哈希值是否已存在
-                if file_hash in hash_dict:
-                    print(f"Duplicates found: {file}")
-                    # 将重复文件直接删除
-                    duplist.append(file_path)
-                    shutil.rmtree(file_path)
-                else:
-                    # 存储文件哈希值
-                    hash_dict[file_hash] = file_path
-
-        return duplist
-
-    def _split_generators(self, dl_manager):
-        dataset = []
-        for key in _URLS.keys():
-            data_files = dl_manager.download_and_extract(_URLS[key])
-            files = dl_manager.iter_files([data_files])
-            subset = []
-
-            extract_dir = f'{data_files}\\{key}'
-            duplist = self._rm_duplicates_in_folder(extract_dir)
-
-            for path in files:
-                if (not path in duplist) and (os.path.basename(path).endswith(".mid")):
-                    subset.append(path)
-
-            random.shuffle(subset)
-            dataset.append(
-                datasets.SplitGenerator(
-                    name=key,
-                    gen_kwargs={
-                        "files": subset
-                    }
-                )
-            )
-
-        return 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')
-            }