| import os | |
| import datasets | |
| from datasets.tasks import ImageClassification | |
| _HOMEPAGE = "https://universe.roboflow.com/robert-demo-qvail/pokedex/dataset/14" | |
| _LICENSE = "Public Domain" | |
| _CITATION = """\ | |
| @misc{ pokedex_dataset, | |
| title = { Pokedex Dataset }, | |
| type = { Open Source Dataset }, | |
| author = { Lance Zhang }, | |
| howpublished = { \\url{ https://universe.roboflow.com/robert-demo-qvail/pokedex } }, | |
| url = { https://universe.roboflow.com/robert-demo-qvail/pokedex }, | |
| journal = { Roboflow Universe }, | |
| publisher = { Roboflow }, | |
| year = { 2022 }, | |
| month = { dec }, | |
| note = { visited on 2023-01-14 }, | |
| } | |
| """ | |
| _CATEGORIES = ['Porygon', 'Goldeen', 'Hitmonlee', 'Hitmonchan', 'Gloom', 'Aerodactyl', 'Mankey', 'Seadra', 'Gengar', 'Venonat', 'Articuno', 'Seaking', 'Dugtrio', 'Machop', 'Jynx', 'Oddish', 'Dodrio', 'Dragonair', 'Weedle', 'Golduck', 'Flareon', 'Krabby', 'Parasect', 'Ninetales', 'Nidoqueen', 'Kabutops', 'Drowzee', 'Caterpie', 'Jigglypuff', 'Machamp', 'Clefairy', 'Kangaskhan', 'Dragonite', 'Weepinbell', 'Fearow', 'Bellsprout', 'Grimer', 'Nidorina', 'Staryu', 'Horsea', 'Electabuzz', 'Dratini', 'Machoke', 'Magnemite', 'Squirtle', 'Gyarados', 'Pidgeot', 'Bulbasaur', 'Nidoking', 'Golem', 'Dewgong', 'Moltres', 'Zapdos', 'Poliwrath', 'Vulpix', 'Beedrill', 'Charmander', 'Abra', 'Zubat', 'Golbat', 'Wigglytuff', 'Charizard', 'Slowpoke', 'Poliwag', 'Tentacruel', 'Rhyhorn', 'Onix', 'Butterfree', 'Exeggcute', 'Sandslash', 'Pinsir', 'Rattata', 'Growlithe', 'Haunter', 'Pidgey', 'Ditto', 'Farfetchd', 'Pikachu', 'Raticate', 'Wartortle', 'Vaporeon', 'Cloyster', 'Hypno', 'Arbok', 'Metapod', 'Tangela', 'Kingler', 'Exeggutor', 'Kadabra', 'Seel', 'Voltorb', 'Chansey', 'Venomoth', 'Ponyta', 'Vileplume', 'Koffing', 'Blastoise', 'Tentacool', 'Lickitung', 'Paras', 'Clefable', 'Cubone', 'Marowak', 'Nidorino', 'Jolteon', 'Muk', 'Magikarp', 'Slowbro', 'Tauros', 'Kabuto', 'Spearow', 'Sandshrew', 'Eevee', 'Kakuna', 'Omastar', 'Ekans', 'Geodude', 'Magmar', 'Snorlax', 'Meowth', 'Pidgeotto', 'Venusaur', 'Persian', 'Rhydon', 'Starmie', 'Charmeleon', 'Lapras', 'Alakazam', 'Graveler', 'Psyduck', 'Rapidash', 'Doduo', 'Magneton', 'Arcanine', 'Electrode', 'Omanyte', 'Poliwhirl', 'Mew', 'Alolan Sandslash', 'Mewtwo', 'Weezing', 'Gastly', 'Victreebel', 'Ivysaur', 'MrMime', 'Shellder', 'Scyther', 'Diglett', 'Primeape', 'Raichu'] | |
| class POKEMONCLASSIFICATIONConfig(datasets.BuilderConfig): | |
| """Builder Config for pokemon-classification""" | |
| def __init__(self, data_urls, **kwargs): | |
| """ | |
| BuilderConfig for pokemon-classification. | |
| Args: | |
| data_urls: `dict`, name to url to download the zip file from. | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super(POKEMONCLASSIFICATIONConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs) | |
| self.data_urls = data_urls | |
| class POKEMONCLASSIFICATION(datasets.GeneratorBasedBuilder): | |
| """pokemon-classification image classification dataset""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| POKEMONCLASSIFICATIONConfig( | |
| name="full", | |
| description="Full version of pokemon-classification dataset.", | |
| data_urls={ | |
| "train": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/train.zip", | |
| "validation": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/valid.zip", | |
| "test": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/test.zip", | |
| } | |
| , | |
| ), | |
| POKEMONCLASSIFICATIONConfig( | |
| name="mini", | |
| description="Mini version of pokemon-classification dataset.", | |
| data_urls={ | |
| "train": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/valid-mini.zip", | |
| "validation": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/valid-mini.zip", | |
| "test": "https://huggingface.co/datasets/keremberke/pokemon-classification/resolve/main/data/valid-mini.zip", | |
| }, | |
| ) | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| features=datasets.Features( | |
| { | |
| "image_file_path": datasets.Value("string"), | |
| "image": datasets.Image(), | |
| "labels": datasets.features.ClassLabel(names=_CATEGORIES), | |
| } | |
| ), | |
| supervised_keys=("image", "labels"), | |
| homepage=_HOMEPAGE, | |
| citation=_CITATION, | |
| license=_LICENSE, | |
| task_templates=[ImageClassification(image_column="image", label_column="labels")], | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_files = dl_manager.download_and_extract(self.config.data_urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "files": dl_manager.iter_files([data_files["train"]]), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, | |
| gen_kwargs={ | |
| "files": dl_manager.iter_files([data_files["validation"]]), | |
| }, | |
| ), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "files": dl_manager.iter_files([data_files["test"]]), | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, files): | |
| for i, path in enumerate(files): | |
| file_name = os.path.basename(path) | |
| if file_name.endswith((".jpg", ".png", ".jpeg", ".bmp", ".tif", ".tiff")): | |
| yield i, { | |
| "image_file_path": path, | |
| "image": path, | |
| "labels": os.path.basename(os.path.dirname(path)), | |
| } | |