Convert dataset to Parquet (#1)

- Convert dataset to Parquet (269de5dca6d88c0f1426f8ad0dc070c0b030bb3d)
- Delete loading script (5678e39add14b5724f98165add6b32aa4dd88622)
- Delete data file (eab8c21556d00ce9d731a9170dee557d9877f905)
- Delete data file (04e73448a2674205dd44d5db39c126f95a93a27b)
- Delete data file (502961d302f075841505f2dc3157e2f0f3d11ecc)
- Delete data file (741b844f890417bcdb823ee5744b03b29d4f0ff5)
- Delete data file (6875eacf7f3231c41c4093f12c0e0c98dcadab5b)
- Delete data file (24c887b3fcbf3ddcee116f461e586e1d4c0f236c)
- Delete data file (c0c50b7a5e13c94547664c7b298f536e318634eb)
- Delete data file (e952a1d7c75f0d0b433895b02628bfb5023bbb32)
- Delete data file (4fe0a3643b0d9f1995bd2b49e0d06586fc9f84ea)

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- en
+size_categories:
+- 100K<n<1M
+task_categories:
+- image-classification
 dataset_info:
   features:
   - name: image
@@ -205,40 +211,55 @@ dataset_info:
           '195': smart fortwo Convertible 2012
   splits:
   - name: train
-    num_bytes: 998210
+    num_bytes: 836228485.28
     num_examples: 8144
   - name: test
-    num_bytes: 969502
+    num_bytes: 820916696.759
     num_examples: 8041
   - name: contrast
-    num_bytes: 1033830
+    num_bytes: 294933529.863
     num_examples: 8041
   - name: gaussian_noise
-    num_bytes: 1130322
+    num_bytes: 788128272.904
     num_examples: 8041
   - name: impulse_noise
-    num_bytes: 1114240
+    num_bytes: 906353753.057
     num_examples: 8041
   - name: jpeg_compression
-    num_bytes: 1162486
+    num_bytes: 394863676.52
     num_examples: 8041
   - name: motion_blur
-    num_bytes: 1082076
+    num_bytes: 372390215.301
     num_examples: 8041
   - name: pixelate
-    num_bytes: 1033830
+    num_bytes: 7894555.938
     num_examples: 8041
   - name: spatter
-    num_bytes: 1017748
+    num_bytes: 692942284.083
     num_examples: 8041
-  download_size: 5970247373
-  dataset_size: 9542244
-task_categories:
-- image-classification
-language:
-- en
-size_categories:
-- 100K<n<1M
+  download_size: 6016497364
+  dataset_size: 5114651469.705
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: contrast
+    path: data/contrast-*
+  - split: gaussian_noise
+    path: data/gaussian_noise-*
+  - split: impulse_noise
+    path: data/impulse_noise-*
+  - split: jpeg_compression
+    path: data/jpeg_compression-*
+  - split: motion_blur
+    path: data/motion_blur-*
+  - split: pixelate
+    path: data/pixelate-*
+  - split: spatter
+    path: data/spatter-*
 ---
 
 # Stanford Cars Dataset

data/{contrast.zip → contrast-00000-of-00001.parquet}

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+size 347064733

data/{gaussian_noise.zip → gaussian_noise-00000-of-00002.parquet}

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data/{motion_blur.zip → gaussian_noise-00001-of-00002.parquet}

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+size 450347240

data/{jpeg_compression.zip → impulse_noise-00000-of-00002.parquet}

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 version https://git-lfs.github.com/spec/v1
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data/impulse_noise-00001-of-00002.parquet

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data/impulse_noise.zip

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data/jpeg_compression-00000-of-00001.parquet

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data/motion_blur-00000-of-00001.parquet

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data/{pixelate.zip → pixelate-00000-of-00001.parquet}

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+size 3741633

data/spatter-00000-of-00002.parquet

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+size 416698359

data/spatter-00001-of-00002.parquet

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data/spatter.zip

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data/test-00000-of-00002.parquet

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data/test.zip

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data/train-00000-of-00002.parquet

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data/train-00001-of-00002.parquet

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data/train.zip

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stanford_cars.py

@@ -1,249 +0,0 @@
-import datasets
-from datasets.data_files import DataFilesDict
-from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder, ImageFolderConfig
-
-logger = datasets.logging.get_logger(__name__)
-
-
-class StanfordCars(ImageFolder):
-    R"""
-    StanfordCars dataset for image classification.
-    """
-
-    BUILDER_CONFIG_CLASS = ImageFolderConfig
-    BUILDER_CONFIGS = [
-        ImageFolderConfig(
-            name="default",
-            features=("images", "labels"),
-            data_files=DataFilesDict(
-                {
-                    split: f"data/{split}.zip"
-                    for split in ["train", "test"]
-                    + ["contrast", "gaussian_noise", "impulse_noise", "jpeg_compression", "motion_blur", "pixelate", "spatter"]
-                }
-            ),
-        )
-    ]
-
-    classnames = [
-        "AM General Hummer SUV 2000",
-        "Acura RL Sedan 2012",
-        "Acura TL Sedan 2012",
-        "Acura TL Type-S 2008",
-        "Acura TSX Sedan 2012",
-        "Acura Integra Type R 2001",
-        "Acura ZDX Hatchback 2012",
-        "Aston Martin V8 Vantage Convertible 2012",
-        "Aston Martin V8 Vantage Coupe 2012",
-        "Aston Martin Virage Convertible 2012",
-        "Aston Martin Virage Coupe 2012",
-        "Audi RS 4 Convertible 2008",
-        "Audi A5 Coupe 2012",
-        "Audi TTS Coupe 2012",
-        "Audi R8 Coupe 2012",
-        "Audi V8 Sedan 1994",
-        "Audi 100 Sedan 1994",
-        "Audi 100 Wagon 1994",
-        "Audi TT Hatchback 2011",
-        "Audi S6 Sedan 2011",
-        "Audi S5 Convertible 2012",
-        "Audi S5 Coupe 2012",
-        "Audi S4 Sedan 2012",
-        "Audi S4 Sedan 2007",
-        "Audi TT RS Coupe 2012",
-        "BMW ActiveHybrid 5 Sedan 2012",
-        "BMW 1 Series Convertible 2012",
-        "BMW 1 Series Coupe 2012",
-        "BMW 3 Series Sedan 2012",
-        "BMW 3 Series Wagon 2012",
-        "BMW 6 Series Convertible 2007",
-        "BMW X5 SUV 2007",
-        "BMW X6 SUV 2012",
-        "BMW M3 Coupe 2012",
-        "BMW M5 Sedan 2010",
-        "BMW M6 Convertible 2010",
-        "BMW X3 SUV 2012",
-        "BMW Z4 Convertible 2012",
-        "Bentley Continental Supersports Conv. Convertible 2012",
-        "Bentley Arnage Sedan 2009",
-        "Bentley Mulsanne Sedan 2011",
-        "Bentley Continental GT Coupe 2012",
-        "Bentley Continental GT Coupe 2007",
-        "Bentley Continental Flying Spur Sedan 2007",
-        "Bugatti Veyron 16.4 Convertible 2009",
-        "Bugatti Veyron 16.4 Coupe 2009",
-        "Buick Regal GS 2012",
-        "Buick Rainier SUV 2007",
-        "Buick Verano Sedan 2012",
-        "Buick Enclave SUV 2012",
-        "Cadillac CTS-V Sedan 2012",
-        "Cadillac SRX SUV 2012",
-        "Cadillac Escalade EXT Crew Cab 2007",
-        "Chevrolet Silverado 1500 Hybrid Crew Cab 2012",
-        "Chevrolet Corvette Convertible 2012",
-        "Chevrolet Corvette ZR1 2012",
-        "Chevrolet Corvette Ron Fellows Edition Z06 2007",
-        "Chevrolet Traverse SUV 2012",
-        "Chevrolet Camaro Convertible 2012",
-        "Chevrolet HHR SS 2010",
-        "Chevrolet Impala Sedan 2007",
-        "Chevrolet Tahoe Hybrid SUV 2012",
-        "Chevrolet Sonic Sedan 2012",
-        "Chevrolet Express Cargo Van 2007",
-        "Chevrolet Avalanche Crew Cab 2012",
-        "Chevrolet Cobalt SS 2010",
-        "Chevrolet Malibu Hybrid Sedan 2010",
-        "Chevrolet TrailBlazer SS 2009",
-        "Chevrolet Silverado 2500HD Regular Cab 2012",
-        "Chevrolet Silverado 1500 Classic Extended Cab 2007",
-        "Chevrolet Express Van 2007",
-        "Chevrolet Monte Carlo Coupe 2007",
-        "Chevrolet Malibu Sedan 2007",
-        "Chevrolet Silverado 1500 Extended Cab 2012",
-        "Chevrolet Silverado 1500 Regular Cab 2012",
-        "Chrysler Aspen SUV 2009",
-        "Chrysler Sebring Convertible 2010",
-        "Chrysler Town and Country Minivan 2012",
-        "Chrysler 300 SRT-8 2010",
-        "Chrysler Crossfire Convertible 2008",
-        "Chrysler PT Cruiser Convertible 2008",
-        "Daewoo Nubira Wagon 2002",
-        "Dodge Caliber Wagon 2012",
-        "Dodge Caliber Wagon 2007",
-        "Dodge Caravan Minivan 1997",
-        "Dodge Ram Pickup 3500 Crew Cab 2010",
-        "Dodge Ram Pickup 3500 Quad Cab 2009",
-        "Dodge Sprinter Cargo Van 2009",
-        "Dodge Journey SUV 2012",
-        "Dodge Dakota Crew Cab 2010",
-        "Dodge Dakota Club Cab 2007",
-        "Dodge Magnum Wagon 2008",
-        "Dodge Challenger SRT8 2011",
-        "Dodge Durango SUV 2012",
-        "Dodge Durango SUV 2007",
-        "Dodge Charger Sedan 2012",
-        "Dodge Charger SRT-8 2009",
-        "Eagle Talon Hatchback 1998",
-        "FIAT 500 Abarth 2012",
-        "FIAT 500 Convertible 2012",
-        "Ferrari FF Coupe 2012",
-        "Ferrari California Convertible 2012",
-        "Ferrari 458 Italia Convertible 2012",
-        "Ferrari 458 Italia Coupe 2012",
-        "Fisker Karma Sedan 2012",
-        "Ford F-450 Super Duty Crew Cab 2012",
-        "Ford Mustang Convertible 2007",
-        "Ford Freestar Minivan 2007",
-        "Ford Expedition EL SUV 2009",
-        "Ford Edge SUV 2012",
-        "Ford Ranger SuperCab 2011",
-        "Ford GT Coupe 2006",
-        "Ford F-150 Regular Cab 2012",
-        "Ford F-150 Regular Cab 2007",
-        "Ford Focus Sedan 2007",
-        "Ford E-Series Wagon Van 2012",
-        "Ford Fiesta Sedan 2012",
-        "GMC Terrain SUV 2012",
-        "GMC Savana Van 2012",
-        "GMC Yukon Hybrid SUV 2012",
-        "GMC Acadia SUV 2012",
-        "GMC Canyon Extended Cab 2012",
-        "Geo Metro Convertible 1993",
-        "HUMMER H3T Crew Cab 2010",
-        "HUMMER H2 SUT Crew Cab 2009",
-        "Honda Odyssey Minivan 2012",
-        "Honda Odyssey Minivan 2007",
-        "Honda Accord Coupe 2012",
-        "Honda Accord Sedan 2012",
-        "Hyundai Veloster Hatchback 2012",
-        "Hyundai Santa Fe SUV 2012",
-        "Hyundai Tucson SUV 2012",
-        "Hyundai Veracruz SUV 2012",
-        "Hyundai Sonata Hybrid Sedan 2012",
-        "Hyundai Elantra Sedan 2007",
-        "Hyundai Accent Sedan 2012",
-        "Hyundai Genesis Sedan 2012",
-        "Hyundai Sonata Sedan 2012",
-        "Hyundai Elantra Touring Hatchback 2012",
-        "Hyundai Azera Sedan 2012",
-        "Infiniti G Coupe IPL 2012",
-        "Infiniti QX56 SUV 2011",
-        "Isuzu Ascender SUV 2008",
-        "Jaguar XK XKR 2012",
-        "Jeep Patriot SUV 2012",
-        "Jeep Wrangler SUV 2012",
-        "Jeep Liberty SUV 2012",
-        "Jeep Grand Cherokee SUV 2012",
-        "Jeep Compass SUV 2012",
-        "Lamborghini Reventon Coupe 2008",
-        "Lamborghini Aventador Coupe 2012",
-        "Lamborghini Gallardo LP 570-4 Superleggera 2012",
-        "Lamborghini Diablo Coupe 2001",
-        "Land Rover Range Rover SUV 2012",
-        "Land Rover LR2 SUV 2012",
-        "Lincoln Town Car Sedan 2011",
-        "MINI Cooper Roadster Convertible 2012",
-        "Maybach Landaulet Convertible 2012",
-        "Mazda Tribute SUV 2011",
-        "McLaren MP4-12C Coupe 2012",
-        "Mercedes-Benz 300-Class Convertible 1993",
-        "Mercedes-Benz C-Class Sedan 2012",
-        "Mercedes-Benz SL-Class Coupe 2009",
-        "Mercedes-Benz E-Class Sedan 2012",
-        "Mercedes-Benz S-Class Sedan 2012",
-        "Mercedes-Benz Sprinter Van 2012",
-        "Mitsubishi Lancer Sedan 2012",
-        "Nissan Leaf Hatchback 2012",
-        "Nissan NV Passenger Van 2012",
-        "Nissan Juke Hatchback 2012",
-        "Nissan 240SX Coupe 1998",
-        "Plymouth Neon Coupe 1999",
-        "Porsche Panamera Sedan 2012",
-        "Ram C/V Cargo Van Minivan 2012",
-        "Rolls-Royce Phantom Drophead Coupe Convertible 2012",
-        "Rolls-Royce Ghost Sedan 2012",
-        "Rolls-Royce Phantom Sedan 2012",
-        "Scion xD Hatchback 2012",
-        "Spyker C8 Convertible 2009",
-        "Spyker C8 Coupe 2009",
-        "Suzuki Aerio Sedan 2007",
-        "Suzuki Kizashi Sedan 2012",
-        "Suzuki SX4 Hatchback 2012",
-        "Suzuki SX4 Sedan 2012",
-        "Tesla Model S Sedan 2012",
-        "Toyota Sequoia SUV 2012",
-        "Toyota Camry Sedan 2012",
-        "Toyota Corolla Sedan 2012",
-        "Toyota 4Runner SUV 2012",
-        "Volkswagen Golf Hatchback 2012",
-        "Volkswagen Golf Hatchback 1991",
-        "Volkswagen Beetle Hatchback 2012",
-        "Volvo C30 Hatchback 2012",
-        "Volvo 240 Sedan 1993",
-        "Volvo XC90 SUV 2007",
-        "smart fortwo Convertible 2012",
-    ]
-
-    clip_templates = [
-        lambda c: f"a photo of a {c}.",
-        lambda c: f"a photo of the {c}.",
-        lambda c: f"a photo of my {c}.",
-        lambda c: f"i love my {c}!",
-        lambda c: f"a photo of my dirty {c}.",
-        lambda c: f"a photo of my clean {c}.",
-        lambda c: f"a photo of my new {c}.",
-        lambda c: f"a photo of my old {c}.",
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="StanfordCars dataset for image classification.",
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "label": datasets.ClassLabel(names=self.classnames),
-                }
-            ),
-            supervised_keys=("image", "label"),
-            task_templates=[datasets.ImageClassification(image_column="image", label_column="label")],
-        )