Convert dataset to Parquet (#1)

- Convert dataset to Parquet (429010a378e39f8c852e41b9353601acd6156043)
- Delete data file (5a0911b0192b16247461c1a968c103a65a9356d1)
- Delete data file (d21dbccaed12adec5387ed5e3ac4e6b63932a822)
- Delete data file (20dd981416045f10703d6a6bc387405451ee0056)
- Delete loading script (5e141e830a62c7408bee57782cb5636f62c1e6fc)
- Delete data file (f5c557705b141cc527889b42f4ad4cd48e75b297)
- Delete data file (e5e6aa01a6555da86f3164137452203f6c94a0c9)
- Delete data file (2ea7ce0d53dad3bff0fca28bb271ad63c86b0df0)
- Delete data file (2785ad020cf4068960201cda4cfaf721cb440ab6)
- Delete data file (c0a9ce322c3eacd84219cc7e3dd6dc0a41925cf4)
- Delete data file (f1eeb81649c355b411ce89f529772b033fe5b72d)

.gitattributes

@@ -1 +1,10 @@
 *.zip filter=lfs diff=lfs merge=lfs -text
+data/train-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/test-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/contrast-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/gaussian_noise-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/impulse_noise-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/jpeg_compression-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/motion_blur-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/pixelate-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text
+data/spatter-00000-of-00001.parquet filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,4 +1,10 @@
 ---
+language:
+- en
+size_categories:
+- 10K<n<100K
+task_categories:
+- image-classification
 dataset_info:
   features:
   - name: image
@@ -32,9 +38,8 @@ dataset_info:
           '22': red and white triangle rough / bumpy road warning
           '23': red and white triangle car skidding / slipping warning
           '24': red and white triangle with merging / narrow lanes warning
-          '25': >-
-            red and white triangle with person digging / construction / road
-            work warning
+          '25': red and white triangle with person digging / construction / road work
+            warning
           '26': red and white triangle with traffic light approaching warning
           '27': red and white triangle with person walking warning
           '28': red and white triangle with child and person walking warning
@@ -50,48 +55,61 @@ dataset_info:
           '38': blue circle with white keep right arrow mandatory
           '39': blue circle with white keep left arrow mandatory
           '40': blue circle with white arrows indicating a traffic circle
-          '41': >-
-            white circle with gray strike bar indicating no passing for cars has
+          '41': white circle with gray strike bar indicating no passing for cars has
             ended
-          '42': >-
-            white circle with gray strike bar indicating no passing for trucks
+          '42': white circle with gray strike bar indicating no passing for trucks
             has ended
   splits:
   - name: train
-    num_bytes: 3190230
+    num_bytes: 252930879.36
     num_examples: 26640
   - name: test
-    num_bytes: 1411339
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: contrast
-    num_bytes: 1512379
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: gaussian_noise
-    num_bytes: 1663939
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: impulse_noise
-    num_bytes: 1638679
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: jpeg_compression
-    num_bytes: 1714459
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: motion_blur
-    num_bytes: 1588159
+    num_bytes: 104816357.02
     num_examples: 12630
   - name: pixelate
-    num_bytes: 1512379
+    num_bytes: 39121740.4
     num_examples: 12630
   - name: spatter
-    num_bytes: 1487119
+    num_bytes: 104816357.02
     num_examples: 12630
-  download_size: 841108239
-  dataset_size: 15718682
-task_categories:
-- image-classification
-language:
-- en
-size_categories:
-- 10K<n<100K
+  download_size: 1027074522
+  dataset_size: 1025767118.8999999
+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-*
 ---
 
 

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f85ec1e3ee55339bb32f99fe7bb4ed4d7867bac0034b95c130f13c5501dd8ead
-size 107066840
+oid sha256:6a7a5d2da523c3f224fc30360003e00ee702d21cd96599fafd55be51e3729e2b
+size 100203225

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf3c023d4aa149016e97e62c593c3ebb0497ab386981ddd0701c484fe109e280
-size 90390821
+oid sha256:cedc2a65e9fcbde17321f222cb3964bbd403ed11f40eaf02823eebaceb420016
+size 118497039

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6d75ae386db806c557d92a5099b84189d70319661faad815c1b8afdea318f9c
-size 86363380
+oid sha256:def3beda451e7cf55b06a947faebaed68ef79111db69f7911dffe72e5898d087
+size 109913778

data/jpeg_compression-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:73293904025663de31f2a08608e264fa61d8270cf427f8af20718e1a339ce529
+size 107520146

data/motion_blur-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:87f38380da38c3fb296327271ea075407632713fcc0674846100c1af820d5839
+size 109348620

data/motion_blur.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fa6938418101ef77110cc700c9cc7942d1deec9182cc3490903dad55af6331b1
-size 88657131

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66d8de328ac8e6194b8e445a7f302570a371f5b22a13c7840f818facd725f498
-size 72731662
+oid sha256:47cc9b1e369d74c0c355009a8eaac777b1592264e2efe86639e1fcb049803b6a
+size 38517533

data/pixelate.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5792eb9a91376bb8fa1d6157170dfe6026d6bd69c690dbc4089ea285a445a39a
-size 27164607

data/spatter-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2606bd08fcfe2d5781688bcd9bee84772f52255a860b4bb83c6336184e350489
+size 109736444

data/spatter.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cc3c91df697702ce6cb069df58f9ddc3cd4a9fd8b2bf8dc038f89c20e8c5106e
-size 91524208

data/test-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2f868c4e7ae887b3aee00c3c6348ac155287e5fb0497f1c7d7683694299c7e67
+size 109166076

data/test.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0906180dba332274fc5c57b784bc315234f6290d1e4582878e387767be16d54d
-size 89209187

data/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22f75b0cab6937dab1c82de33f8354ae14d4b42d42b08c94879027b26cb97cb6
+size 224171661

data/train.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:97793acfe2ccddfa78c52e85d2f5344d68b0b14fae17ea6976660975a21dfdc0
-size 188000403

gtsrb.py

@@ -1,83 +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 GTSRB(ImageFolder):
-    R"""
-    GTSRB 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 = [
-        "red and white circle 20 kph speed limit",
-        "red and white circle 30 kph speed limit",
-        "red and white circle 50 kph speed limit",
-        "red and white circle 60 kph speed limit",
-        "red and white circle 70 kph speed limit",
-        "red and white circle 80 kph speed limit",
-        "end / de-restriction of 80 kph speed limit",
-        "red and white circle 100 kph speed limit",
-        "red and white circle 120 kph speed limit",
-        "red and white circle red car and black car no passing",
-        "red and white circle red truck and black car no passing",
-        "red and white triangle road intersection warning",
-        "white and yellow diamond priority road",
-        "red and white upside down triangle yield right-of-way",
-        "stop",
-        "empty red and white circle",
-        "red and white circle no truck entry",
-        "red circle with white horizonal stripe no entry",
-        "red and white triangle with exclamation mark warning",
-        "red and white triangle with black left curve approaching warning",
-        "red and white triangle with black right curve approaching warning",
-        "red and white triangle with black double curve approaching warning",
-        "red and white triangle rough / bumpy road warning",
-        "red and white triangle car skidding / slipping warning",
-        "red and white triangle with merging / narrow lanes warning",
-        "red and white triangle with person digging / construction / road work warning",
-        "red and white triangle with traffic light approaching warning",
-        "red and white triangle with person walking warning",
-        "red and white triangle with child and person walking warning",
-        "red and white triangle with bicyle warning",
-        "red and white triangle with snowflake / ice warning",
-        "red and white triangle with deer warning",
-        "white circle with gray strike bar no speed limit",
-        "blue circle with white right turn arrow mandatory",
-        "blue circle with white left turn arrow mandatory",
-        "blue circle with white forward arrow mandatory",
-        "blue circle with white forward or right turn arrow mandatory",
-        "blue circle with white forward or left turn arrow mandatory",
-        "blue circle with white keep right arrow mandatory",
-        "blue circle with white keep left arrow mandatory",
-        "blue circle with white arrows indicating a traffic circle",
-        "white circle with gray strike bar indicating no passing for cars has ended",
-        "white circle with gray strike bar indicating no passing for trucks has ended",
-    ]
-
-    clip_templates = [
-        lambda c: f'a zoomed in photo of a "{c}" traffic sign.',
-        lambda c: f'a centered photo of a "{c}" traffic sign.',
-        lambda c: f'a close up photo of a "{c}" traffic sign.',
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="GTSRB 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")],
-        )
-