| import datasets | |
| from huggingface_hub import HfApi | |
| from datasets import DownloadManager, DatasetInfo | |
| from datasets.data_files import DataFilesDict | |
| import os | |
| import json | |
| from os.path import dirname, basename | |
| from pathlib import Path | |
| # ここに設定を記入 | |
| _NAME = "mb23/GraySpectrogram" | |
| _EXTENSION = [".png"] | |
| _REVISION = "main" | |
| # _HOMEPAGE = "https://github.com/fastai/imagenette" | |
| # プログラムを置く場所が決まったら、ここにホームページURLつける | |
| _HOMEPAGE = "https://huggingface.co/datasets/mb23/GraySpectrogram" | |
| _DESCRIPTION = f"""\ | |
| {_NAME} Datasets including spectrogram.png file from Google MusicCaps Datasets! | |
| Using for Project Learning... | |
| """ | |
| # 参考になりそうなURL集 | |
| # https://huggingface.co/docs/datasets/v1.1.1/_modules/datasets/utils/download_manager.html | |
| # https://huggingface.co/docs/datasets/package_reference/builder_classes | |
| # https://huggingface.co/datasets/animelover/danbooru2022/blob/main/danbooru2022.py | |
| # https://huggingface.co/datasets/food101/blob/main/food101.py | |
| # https://huggingface.co/docs/datasets/about_dataset_load | |
| # https://huggingface.co/datasets/frgfm/imagenette/blob/main/imagenette.py | |
| # https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html | |
| # DatasetInfo : https://huggingface.co/docs/datasets/package_reference/main_classes | |
| def get_information(): | |
| # データを整理？ | |
| hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0) | |
| # メタデータであるjsonlファイルのURLを取得 | |
| # ここの抽出方法変えられないかな？ | |
| train_metadata_url = DataFilesDict.from_hf_repo( | |
| {datasets.Split.TRAIN: ["data/train/**"]}, | |
| dataset_info=hfh_dataset_info, | |
| allowed_extensions=["jsonl", ".jsonl"], | |
| ) | |
| test_metadata_url = DataFilesDict.from_hf_repo( | |
| {datasets.Split.TEST: ["data/test/**"]}, | |
| dataset_info=hfh_dataset_info, | |
| allowed_extensions=["jsonl", ".jsonl"], | |
| ) | |
| metadata_urls = dict() | |
| metadata_urls["train"] = train_metadata_url["train"] | |
| metadata_urls["test"] = test_metadata_url["test"] | |
| # 画像データは**.zipのURLをDict型として取得？ | |
| # **.zipのURLをDict型として取得？ | |
| train_data_url = DataFilesDict.from_hf_repo( | |
| {datasets.Split.TRAIN: ["data/train/**"]}, | |
| dataset_info=hfh_dataset_info, | |
| allowed_extensions=["zip", ".zip"], | |
| ) | |
| test_data_url = DataFilesDict.from_hf_repo( | |
| {datasets.Split.TEST: ["data/test/**"]}, | |
| dataset_info=hfh_dataset_info, | |
| allowed_extensions=["zip", ".zip"] | |
| ) | |
| data_urls = dict() | |
| data_urls["train"] = train_data_url["train"] | |
| data_urls["test"] = test_data_url["test"] | |
| return (metadata_urls, data_urls) | |
| class GraySpectrogramConfig(datasets.BuilderConfig): | |
| """BuilderConfig for Imagette.""" | |
| def __init__(self, data_url, metadata_url, **kwargs): | |
| """BuilderConfig for Imagette. | |
| Args: | |
| data_url: `string`, url to download the zip file from. | |
| matadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(GraySpectrogramConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs) | |
| self.data_url = data_url | |
| self.metadata_url = metadata_url | |
| class GraySpectrogram(datasets.GeneratorBasedBuilder): | |
| # データのサブセットはここで用意 | |
| metadata_urls, data_urls = get_information() | |
| subset_name_list = [ | |
| "data 0-200", | |
| "data 200-600", | |
| "data 600-1000", | |
| "data 1000-1300", | |
| "data 1300-1600", | |
| "data 1600-2000", | |
| ] | |
| for i in range(2000, 2800, 200): | |
| subset_name_list.append(f"data {i}-{i+200}") | |
| for i in range(3000, 5200, 200): | |
| subset_name_list.append(f"data {i}-{i+200}") | |
| subset_name_list.append("data 5200-5520") | |
| config_list = list() | |
| for i in range(22): | |
| config_list.append( | |
| GraySpectrogramConfig( | |
| name = subset_name_list[i], | |
| description = _DESCRIPTION, | |
| data_url = { | |
| "train" : data_urls["train"][i], | |
| "test" : data_urls["test"][i] | |
| }, | |
| metadata_url = { | |
| "train" : metadata_urls["train"][i], | |
| "test" : metadata_urls["test"][i] | |
| } | |
| ) | |
| ) | |
| BUILDER_CONFIGS = config_list | |
| # BUILDER_CONFIGS = [ | |
| # GraySpectrogramConfig( | |
| # name="data 0-200", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][0], | |
| # "test" : data_urls["test"][0] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][0], | |
| # "test" : metadata_urls["test"][0] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 200-600", | |
| # description=_DESCRIPTION, | |
| # data_url ={ | |
| # "train" : data_urls["train"][1], | |
| # "test" : data_urls["test"][1] | |
| # }, | |
| # metadata_url = { | |
| # "train": metadata_urls["train"][1], | |
| # "test" : metadata_urls["test"][1] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 600-1000", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][2], | |
| # "test" : data_urls["test"][2] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][2], | |
| # "test" : metadata_urls["test"][2] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 1000-1300", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][3], | |
| # "test" : data_urls["test"][3] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][3], | |
| # "test" : metadata_urls["test"][3] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 1300-1600", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][4], | |
| # "test" : data_urls["test"][4] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][4], | |
| # "test" : metadata_urls["test"][4] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 1600-2000", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][5], | |
| # "test" : data_urls["test"][5] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][5], | |
| # "test" : metadata_urls["test"][5] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 2000-2200", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][6], | |
| # "test" : data_urls["test"][6] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][6], | |
| # "test" : metadata_urls["test"][6] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 2200-2600", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][7], | |
| # "test" : data_urls["test"][7] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][7], | |
| # "test" : metadata_urls["test"][7] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 2600-2800", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][8], | |
| # "test" : data_urls["test"][8] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][8], | |
| # "test" : metadata_urls["test"][8] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 3000-3200", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][9], | |
| # "test" : data_urls["test"][9] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][9], | |
| # "test" : metadata_urls["test"][9] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 3200-3400", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][10], | |
| # "test" : data_urls["test"][10] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][11], | |
| # "test" : metadata_urls["test"][11] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 3400-3600", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][12], | |
| # "test" : data_urls["test"][12] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][12], | |
| # "test" : metadata_urls["test"][12] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 3600-3800", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][13], | |
| # "test" : data_urls["test"][1] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][14], | |
| # "test" : metadata_urls["test"][14] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 3800-4000", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][15], | |
| # "test" : data_urls["test"][15] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][15], | |
| # "test" : metadata_urls["test"][15] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 4000-4200", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][16], | |
| # "test" : data_urls["test"][16] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][16], | |
| # "test" : metadata_urls["test"][16] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 4200-4400", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][17], | |
| # "test" : data_urls["test"][17] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][17], | |
| # "test" : metadata_urls["test"][17] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 4400-4600", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][18], | |
| # "test" : data_urls["test"][18] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][18], | |
| # "test" : metadata_urls["test"][18] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 4600-4800", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][19], | |
| # "test" : data_urls["test"][19] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][19], | |
| # "test" : metadata_urls["test"][19] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 4800-5000", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][20], | |
| # "test" : data_urls["test"][20] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][20], | |
| # "test" : metadata_urls["test"][20] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 5000-5200", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][21], | |
| # "test" : data_urls["test"][21] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][4], | |
| # "test" : metadata_urls["test"][4] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 5200-5520", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][4], | |
| # "test" : data_urls["test"][4] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][4], | |
| # "test" : metadata_urls["test"][4] | |
| # } | |
| # ), | |
| # GraySpectrogramConfig( | |
| # name="data 2800-3000", | |
| # description=_DESCRIPTION, | |
| # data_url = { | |
| # "train" : data_urls["train"][4], | |
| # "test" : data_urls["test"][4] | |
| # }, | |
| # metadata_url = { | |
| # "train" : metadata_urls["train"][4], | |
| # "test" : metadata_urls["test"][4] | |
| # } | |
| # ) | |
| # ] | |
| def _info(self) -> DatasetInfo: | |
| return datasets.DatasetInfo( | |
| description = self.config.description, | |
| features=datasets.Features( | |
| { | |
| "image": datasets.Image(), | |
| "caption": datasets.Value("string"), | |
| "data_idx": datasets.Value("int32"), | |
| "number" : datasets.Value("int32"), | |
| "label" : datasets.ClassLabel( | |
| names=[ | |
| "blues", | |
| "classical", | |
| "country", | |
| "disco", | |
| "hiphop", | |
| "metal", | |
| "pop", | |
| "reggae", | |
| "rock", | |
| "jazz" | |
| ] | |
| ) | |
| } | |
| ), | |
| supervised_keys=("image", "caption"), | |
| homepage=_HOMEPAGE, | |
| citation= "", | |
| # license=_LICENSE, | |
| # task_templates=[ImageClassification(image_column="image", label_column="label")], | |
| ) | |
| def _split_generators(self, dl_manager: DownloadManager): | |
| train_metadata_path = dl_manager.download_and_extract(self.config.metadata_url["train"]) | |
| test_metadata_path = dl_manager.download_and_extract(self.config.metadata_url["test"]) | |
| train_data_path = dl_manager.download(self.config.data_url["train"]) | |
| test_data_path = dl_manager.download(self.config.data_url["test"]) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "images": dl_manager.iter_archive(train_data_path), | |
| "metadata_path": train_metadata_path, | |
| } | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "images": dl_manager.iter_archive(test_data_path), | |
| "metadata_path": test_metadata_path, | |
| } | |
| ), | |
| ] | |
| # # huggingfaceのディレクトリからデータを取ってくる | |
| # hfh_dataset_info = HfApi().dataset_info(_NAME, revision=_REVISION, timeout=100.0) | |
| # # メタデータであるjsonlファイルのURLを取得 | |
| # # ここの抽出方法変えられないかな？ | |
| # train_metadata_url = DataFilesDict.from_hf_repo( | |
| # {datasets.Split.TRAIN: ["data/train/**"]}, | |
| # dataset_info=hfh_dataset_info, | |
| # allowed_extensions=["jsonl", ".jsonl"], | |
| # ) | |
| # test_metadata_url = DataFilesDict.from_hf_repo( | |
| # {datasets.Split.TEST: ["data/test/**"]}, | |
| # dataset_info=hfh_dataset_info, | |
| # allowed_extensions=["jsonl", ".jsonl"], | |
| # ) | |
| # metadata_urls = dict() | |
| # metadata_urls["train"] = train_metadata_url["train"] | |
| # metadata_urls["test"] = test_metadata_url["test"] | |
| # # 画像データは**.zipのURLをDict型として取得？ | |
| # # **.zipのURLをDict型として取得？ | |
| # train_data_url = DataFilesDict.from_hf_repo( | |
| # {datasets.Split.TRAIN: ["data/train/**"]}, | |
| # dataset_info=hfh_dataset_info, | |
| # allowed_extensions=["zip", ".zip"], | |
| # ) | |
| # test_data_url = DataFilesDict.from_hf_repo( | |
| # {datasets.Split.TEST: ["data/test/**"]}, | |
| # dataset_info=hfh_dataset_info, | |
| # allowed_extensions=["zip", ".zip"] | |
| # ) | |
| # data_urls = dict() | |
| # data_urls["train"] = train_data_url["train"] | |
| # data_urls["test"] = test_data_url["test"] | |
| # gs = [] | |
| # # for split, file_list in data_urls.items(): | |
| # # metadata_list = metadata_urls[split] | |
| # # for i, file_ in enumerate(file_list): | |
| # # ''' | |
| # # split : "train" or "test" or "val" | |
| # # files : zip files | |
| # # ''' | |
| # # # print(file_) | |
| # # # print(metadata_list[0]) | |
| # # # # リポジトリからダウンロードしてとりあえずキャッシュしたURLリストを取得 | |
| # # metadata_path = dl_manager.download_and_extract(metadata_list[i]) | |
| # # downloaded_files = dl_manager.download(file_) | |
| # # # # 元のコードではzipファイルの中身を"filepath"としてそのまま_generate_exampleに引き渡している？ | |
| # # gs.append( | |
| # # datasets.SplitGenerator( | |
| # # name = split, | |
| # # gen_kwargs = { | |
| # # # "images" : iter(iter_archive[split]), | |
| # # "images" : dl_manager.iter_archive(downloaded_files), | |
| # # "metadata_path": metadata_path # メタデータパスを渡す | |
| # # } | |
| # # ) | |
| # # ) | |
| # return gs | |
| def _generate_examples(self, images, metadata_path): | |
| """Generate images and captions for splits.""" | |
| # with open(metadata_path, encoding="utf-8") as f: | |
| # files_to_keep = set(f.read().split("\n")) | |
| file_list = list() | |
| caption_list = list() | |
| dataIDX_list = list() | |
| num_list = list() | |
| label_list = list() | |
| with open(metadata_path, encoding="utf-8") as fin: | |
| for line in fin: | |
| data = json.loads(line) | |
| file_list.append(data["file_name"]) | |
| caption_list.append(data["caption"]) | |
| dataIDX_list.append(data["data_idx"]) | |
| num_list.append(data["number"]) | |
| label_list.append(data["label"]) | |
| for idx, (file_path, file_obj) in enumerate(images): | |
| yield file_path, { | |
| "image": { | |
| "path": file_path, | |
| "bytes": file_obj.read() | |
| }, | |
| "caption" : caption_list[idx], | |
| "data_idx" : dataIDX_list[idx], | |
| "number" : num_list[idx], | |
| "label": label_list[idx] | |
| } | |