# coding=utf-8 # Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Dataset class for ISIA Food-500 dataset.""" import datasets from datasets.tasks import ImageClassification _BASE_URL = "http://123.57.42.89/Dataset_ict/ISIA_Food500_Dir/dataset/ISIA_Food500.zip" _METADATA_URL = "http://123.57.42.89/Dataset_ict/ISIA_Food500_Dir/dataset/metadata_ISIAFood_500.zip" _HOMEPAGE = "http://123.57.42.89/FoodComputing-Dataset/ISIA-Food500.html" _DESCRIPTION = "ABCDescription" _CITATION = "ABCCitation" _LICENSE = "ABCLicense" _NAMES = [ 'Abalone', 'Aburaage', 'Æbleflæsk', 'Agedashi_tofu', 'Aligot', 'Almond_biscuit', 'Aloo_gobi', 'Ambrosia_(fruit_salad)', 'Anago', 'Andong_jjimdak', 'Ants_climbing_a_tree', 'Anzac_biscuit', 'Apple_cobbler', 'Apple_crisp', 'Apple_dumpling', 'Apple_pie', 'Apple_sauce', 'Apple_strudel', 'Applesauce_cake', 'Arab_salad', 'Arancini', 'Arròs_negre', 'Asam_pedas', 'Avocado_bread', 'Avocado_fries', 'Avocado_key_lime_pie', 'Avocado_sauce', 'Avocado_toast', 'Ayam_bakar', 'Ayam_betutu', 'Ayam_goreng', 'Babi_panggang', 'Bacon_and_eggs', 'Bacon_egg_and_cheese_sandwich', 'Bacon_explosion', 'Bacon_sandwich', 'Baingan_bharta', 'Baked_beans', 'Banana_bread', 'Banana_pancakes', 'Banana_pudding', 'Banana_salad', 'Banana_split', 'Bandeja_paisa', 'Bangers_and_mash', 'Banh_bo', 'Bánh_canh', 'Bánh_chuối', 'Bean_pie', 'Bean_salad', 'Beef_bun', 'Beef_chow_fun', 'Beef_noodle_soup', 'Beef_Wellington', 'Beignet', 'Bibimbap', 'Bibingka', 'Biryani', 'Bisque_food', 'Bistek', 'Black_Forest_gateau', 'Black_pepper_crab', 'Blackberry_pie', 'Blancmange', 'BLT_sandwich', 'Blueberry_pie', 'Boiled_beef', 'Boiled_peanuts', 'Bon_bon_chicken', 'Borscht', 'Botan-ebi', 'Botifarra', 'Bouillabaisse', 'Bourbon_chicken', 'Bread_roll', 'Broccoli_slaw', 'Brown_stew_chicken', 'Bruschetta', 'Bubur_ayam', 'Bubur_kacang_hijau', 'Bugnes', 'Bun_bo_hue', 'Bún_ốc', 'Bún_riêu', 'Burrito', 'Butadon', 'Butter_cake', 'Butter_pecan', 'Butter_pie', 'Buttercream', 'Buttery_bread', 'Cabbage_soup', 'Caesar_salad', 'Café_liégeois', 'Calamari', 'Caldo_verde', 'Caprese_salad', 'Carpaccio', 'Carrot_bread', 'Carrot_cake', 'Carrot_cake_cookie', 'Carrot_chips', 'Carrot_juice', 'Carrot_salad', 'Carrot_soup', 'Cassoulet', 'Cebolada', 'Ceviche', 'Chakli', 'Champurrado', 'Char_kway_teow', 'Charqui', 'Chazuke', 'Cheese_and_tomato_sandwich', 'Cheese_bun', 'Cheese_fries', 'Cheese_maki', 'Cheese_pudding', 'Cheese_roll', 'Cheesecake', 'Cherry_cake', 'Cherry_ice_cream', 'Cherry_pie', 'Chicken_and_waffles', 'Chicken_cacciatore', 'Chicken_curry', 'Chicken_fingers', 'Chicken_Kiev', 'Chicken_marsala', 'Chicken_noodle_soup', 'Chicken_nugget', 'Chicken_parmigiana', 'Chicken_salad', 'Chicken_soup', 'Chiles_en_nogada', 'Chili_con_carne', 'Chilli_crab', 'Chinese_chicken_salad', 'Chocolate_covered_strawberries', 'Chocolate_marshmallow_pie', 'Chow_mein', 'Chowder', 'Christmas_cake', 'Churro', 'Ciambelle', 'Çiğ_köfte', 'Clam_chowder', 'Claypot_chicken_rice', 'Club_sandwich', 'Cobbler_food', 'Coconut_cake', 'Coconut_cream', 'Coconut_shrimp', 'Coda_alla_vaccinara', 'Coffee_jelly', 'Colcannon', 'Coleslaw', 'Congee', 'Corn_chip', 'Corn_crab_soup', 'Corn_dog', 'Corn_soup', 'Corn_stew', 'Corn_tortilla', 'Corned_beef_sandwich', 'Cotoletta', 'Crab_cake', 'Crab_dip', 'Crab_in_Padang_sauce', 'Crab_puff', 'Crab_rangoon', 'Cream_of_broccoli_soup', 'Cream_of_mushroom_soup', 'Cream_pie', 'Creamed_eggs_on_toast', 'Croissant', 'Crudo', 'Crumble', 'Cucumber_soup', 'Cured_salmon', 'Curry_goat', 'Curry_Mee', 'Curry_rice', 'Currywurst', 'Dandan_noodles', 'Deep-fried_peanuts', 'Denver_omelette', 'Denver_sandwich', 'Dhokla', 'Di_san_xian', 'Dinuguan', 'Dirty_Rice', 'Dong\'an_chicken', 'Doufunao', 'Doughnut', 'Drunken_chicken', 'Drunken_shrimp', 'Duck_soup_noodles', 'Edamame', 'Eggplant_omelette', 'Eisbein', 'Es_campur', 'Es_pisang_ijo', 'Filet_mignon', 'Fish_ball', 'Fish_chowder', 'Fish_head_casserole', 'Fish_head_curry', 'Fish_soup', 'Fish_steak', 'Fishcake', 'Fondue', 'Francesinha', 'Frappe', 'French_onion_soup', 'French_toast', 'Fricassee', 'Fried_aubergine', 'Fried_cheese', 'Fried_chicken', 'Fried_noodles', 'Fried_onion', 'Fried_rice', 'Fried_Tofu', 'Fruit_curd', 'Fuqi_feipian', 'Galbi', 'Garlic_bread', 'Gejang', 'Ginger_beef', 'Gołąbki', 'Goulash', 'Gravlax', 'Greek_salad', 'Green_bean_casserole', 'Green_papaya_salad', 'Grits', 'Gulai_Ayam', 'Gyutan', 'Hae_mee', 'Hainanese_chicken_rice', 'Ham_and_cheese_sandwich', 'Ham_salad', 'Ham_sandwich', 'hamburgers', 'Har_gow', 'Hiyayakko', 'Hokkien_mee', 'Hongshao_rou', 'Hoppin\'_John', 'Hot_and_sour_soup', 'Huangqiao_sesame_cake', 'Huevos_rancheros', 'Hummus', 'Ikan_bakar', 'Ikan_goreng', 'Israeli_salad', 'Italian_tomato_pie', 'Jajangmyeon', 'Jambalaya', 'Jambonneau', 'Japchae', 'Jewish_apple_cake', 'Jiuniang', 'Kachori', 'Kadhi', 'Kakuni', 'Katsudon', 'kebab', 'Kedgeree', 'Key_lime_pie', 'Konnyaku', 'Korean_fried_chicken', 'Kung_Pao_chicken', 'Kwetiau_goreng', 'Laddu', 'Laksa', 'Lamb_chop', 'Lasagna', 'Lebkuchen', 'Leek_soup', 'Lemon_chicken', 'Lemon_ice_box_pie', 'Lemon_meringue_pie', 'Lemon_tart', 'Lemonade', 'Lentil_soup', 'Lettuce_soup', 'Lo_mein', 'Lobster_bisque', 'Lohikeitto', 'Macaron', 'Mango_pomelo_sago', 'Mango_pudding', 'Mapo_doufu', 'Meatloaf', 'Mee_pok', 'Mee_siam', 'Melt_sandwich', 'Menudo', 'Mì_Quảng', 'Michigan_hot_dog', 'Mie_goreng', 'Milk_Shake', 'Minestrone', 'Mirchi_ka_salan', 'Mission_burrito', 'Mongolian_beef', 'Mousse', 'Mozzarella_sticks', 'Mushroom_gravy', 'Mushy_peas', 'Mutton_handi', 'Mutton_korma', 'Nachos', 'Naengmyeon', 'Nasi_goreng', 'Nasi_kuning', 'Nasi_liwet', 'Nattō', 'Noodle_soup', 'Nuomici', 'Okinawa_soba', 'Olivier_salad', 'Onigiri', 'Onion_ring', 'Orange_chicken', 'Oyster_omelette', 'Oysters_Rockefeller', 'Pączki', 'Paella', 'Pakora', 'Panzanella', 'Pappa_al_pomodoro', 'Parmigiana', 'Pasta', 'Pasta_al_pomodoro', 'Pasta_alla_Norma', 'Pasteis_de_Bacalhau', 'Paupiette', 'Payasam', 'Pea_soup', 'Peanut_butter_cookie', 'Peanut_soup', 'Pho', 'Pickled_cucumber', 'Pig\'s_ear', 'Pig\'s_organ_soup', 'Pig\'s_trotters', 'Pineapple_tart', 'Pipikaula', 'Pizza_carbonara', 'Pizza_pugliese', 'Plateau_de_fruits_de_mer', 'Plum_cake', 'Pommes_dauphine', 'Poori', 'Porchetta', 'Pork_ball', 'Pork_blood_soup', 'Pork_knuckle', 'Pork_Knuckles_and_Ginger_Stew', 'Pork_ribs', 'Pork_tenderloin', 'Pork_tenderloin_sandwich', 'Pot_roast', 'Potato_salad', 'Poutine', 'Prawn_cocktail', 'Prawn_soup', 'Princess_cake', 'Profiterole', 'Pudding_corn', 'Pulled_pork', 'Pumpkin_bread', 'Pumpkin_pie', 'Quesadilla', 'Queso_flameado', 'Quiche_Lorraine', 'Rack_of_lamb', 'Raita', 'Ramen', 'Red_bean_cake', 'Red_bean_ice', 'Red_beans_and_rice', 'Red_slaw', 'Refried_beans', 'Rendang', 'Rice_and_peas', 'Rice_ball', 'Rice_cakes', 'Rice_pudding', 'Rogan_josh', 'Rou_jia_mo', 'Rouladen', 'Salmon_pie', 'Sambar', 'Samgyetang', 'Samosa', 'Sapo_tahu', 'Sardine', 'Sashimi', 'Sauerbraten', 'Sausage_and_peppers', 'Sausage_bun', 'Sausage_roll', 'Sausage_sandwich', 'Sauteed_mushrooms', 'Scampi', 'Schweinshaxe', 'Seafood_boil', 'Seafood_pizza', 'Sesame_chicken', 'Shaker_Lemon_Pie', 'Shanghai_fried_noodles', 'She-crab_soup', 'Sheep\'s_trotters', 'Shrimp_ball', 'Shrimp_toast', 'Shuizhu', 'Sicilian_orange_salad', 'Sliced_fish_soup', 'Smoked_salmon', 'Soba', 'Soft-shell_crab', 'Sopa_de_Mandioca', 'Soused_herring', 'Spanish_rice', 'Spatzle', 'Spiced_beef', 'Spinach_salad', 'Spinach_soup', 'Squash_soup', 'Steak_tartare', 'Steamed_clams', 'Steamed_meatball', 'Steamed_rice', 'Stew_peas', 'Stinky_tofu', 'Stir-fried_tomato_and_scrambled_eggs', 'Strawberry_cake', 'Strawberry_cheesecake', 'Strawberry_ice_cream', 'Strawberry_jam', 'Strawberry_pie', 'Strawberry_sundae', 'Strawberry_tart', 'Stuffed_avocado', 'Stuffed_eggplant', 'Stuffed_mushrooms', 'Stuffed_peppers', 'Stuffed_tomatoes', 'Suanmeitang', 'Succotash', 'Suckling_pig', 'Svíčková', 'Sweet_potato_pie', 'Sweet_saffron_rice', 'Syrniki', 'Tabbouleh', 'Tacos', 'Tafelspitz', 'Takoyaki', 'Taro_dumpling', 'Tinga_dish', 'Tiramisu', 'Toad_in_the_hole', 'Tobiko', 'Tomato_and_egg_soup', 'Tomato_bredie', 'Tomato_omelette', 'Tomato_soup', 'Tonkatsu', 'Tonkotsu_ramen', 'Torta_caprese', 'Tostada', 'Tourtière', 'Tsukemono', 'Tuna_fish_sandwich', 'Tuna_salad', 'Turnip_cake', 'Twix', 'Unagi', 'Vegetarian_chili', 'Vichyssoise', 'Vindaloo', 'Vitello_tonnato', 'Wakame', 'Wenchang_chicken', 'White_boiled_shrimp', 'White_cut_chicken', 'Whitebait', 'Wonton_noodles', 'Wotou', 'Yeung_Chow_fried_rice', 'Youtiao', 'Yuxiangrousi', 'Zhajiangmian', 'Zongzi', 'Zurcher_Geschnetzeltes', ] _IMAGES_DIR = "ISIA_Food500/images" _TRAIN_TXT = "metadata_ISIAFood_500/train_feature.txt" _VALID_TXT = "metadata_ISIAFood_500/val_feature.txt" _TEST_TXT = "metadata_ISIAFood_500/test_feature.txt" class Food500(datasets.GeneratorBasedBuilder): """Food-500 Images dataset.""" def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "image": datasets.Image(), "label": datasets.ClassLabel(names=_NAMES), } ), supervised_keys=("image", "label"), homepage=_HOMEPAGE, citation=_CITATION, license=_LICENSE, task_templates=[ImageClassification(image_column="image", label_column="label")], ) def _split_generators(self, dl_manager): archive_path = dl_manager.download(_BASE_URL) split_metadata_path = dl_manager.download(_METADATA_URL) metadata = dl_manager.iter_archive(split_metadata_path) for file_path, file_obj in metadata: if file_path == _TRAIN_TXT: train_set = set(file_obj.read().split("\n")) train_set = {path.encode("utf-8") for path in train_set} if file_path == _VALID_TXT: valid_set = set(file_obj.read().split("\n")) valid_set = {path.encode("utf-8") for path in train_set} if file_path == _TEST_TXT: test_set = set(file_obj.read().split("\n")) test_set = {path.encode("utf-8") for path in train_set} pass return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "images": dl_manager.iter_archive(archive_path), "metadata_set": train_set, }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "images": dl_manager.iter_archive(archive_path), "metadata_set": valid_set, }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "images": dl_manager.iter_archive(archive_path), "metadata_set": test_set, }, ), ] def _generate_examples(self, images, metadata_set): """Generate images and labels for splits.""" for file_path, file_obj in images: if file_path.startswith(_IMAGES_DIR): if file_path[len(_IMAGES_DIR) : -len(".jpg")] in metadata_set: label = file_path.split("/")[2] yield file_path, { "image": {"path": file_path, "bytes": file_obj.read()}, "label": label, }