Processed data from AutoTrain data processor ([2023-05-17 19:27 ]

README.md

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+---
+task_categories:
+- image-classification
+
+---
+# AutoTrain Dataset for project: imagetest
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project imagetest.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "image": "<32x32 RGB PIL image>",
+    "feat_fine_label": 19,
+    "target": 11
+  },
+  {
+    "image": "<32x32 RGB PIL image>",
+    "feat_fine_label": 29,
+    "target": 15
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "feat_fine_label": "ClassLabel(names=['apple', 'aquarium_fish', 'baby', 'bear', 'beaver', 'bed', 'bee', 'beetle', 'bicycle', 'bottle', 'bowl', 'boy', 'bridge', 'bus', 'butterfly', 'camel', 'can', 'castle', 'caterpillar', 'cattle', 'chair', 'chimpanzee', 'clock', 'cloud', 'cockroach', 'couch', 'cra', 'crocodile', 'cup', 'dinosaur', 'dolphin', 'elephant', 'flatfish', 'forest', 'fox', 'girl', 'hamster', 'house', 'kangaroo', 'keyboard', 'lamp', 'lawn_mower', 'leopard', 'lion', 'lizard', 'lobster', 'man', 'maple_tree', 'motorcycle', 'mountain', 'mouse', 'mushroom', 'oak_tree', 'orange', 'orchid', 'otter', 'palm_tree', 'pear', 'pickup_truck', 'pine_tree', 'plain', 'plate', 'poppy', 'porcupine', 'possum', 'rabbit', 'raccoon', 'ray', 'road', 'rocket', 'rose', 'sea', 'seal', 'shark', 'shrew', 'skunk', 'skyscraper', 'snail', 'snake', 'spider', 'squirrel', 'streetcar', 'sunflower', 'sweet_pepper', 'table', 'tank', 'telephone', 'television', 'tiger', 'tractor', 'train', 'trout', 'tulip', 'turtle', 'wardrobe', 'whale', 'willow_tree', 'wolf', 'woman', 'worm'], id=None)",
+  "target": "ClassLabel(names=['aquatic_mammals', 'fish', 'flowers', 'food_containers', 'fruit_and_vegetables', 'household_electrical_devices', 'household_furniture', 'insects', 'large_carnivores', 'large_man-made_outdoor_things', 'large_natural_outdoor_scenes', 'large_omnivores_and_herbivores', 'medium_mammals', 'non-insect_invertebrates', 'people', 'reptiles', 'small_mammals', 'trees', 'vehicles_1', 'vehicles_2'], id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 50000 |
+| valid        | 10000 |

processed/dataset_dict.json

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+{"splits": ["train", "valid"]}

processed/train/data-00000-of-00001.arrow

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dedbab8c54fbc41dedef97721ccf56478f877fa2fdc3607efcb1a257ddfda0d2
+size 112772056

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "image": {
+      "_type": "Image"
+    },
+    "feat_fine_label": {
+      "names": [
+        "apple",
+        "aquarium_fish",
+        "baby",
+        "bear",
+        "beaver",
+        "bed",
+        "bee",
+        "beetle",
+        "bicycle",
+        "bottle",
+        "bowl",
+        "boy",
+        "bridge",
+        "bus",
+        "butterfly",
+        "camel",
+        "can",
+        "castle",
+        "caterpillar",
+        "cattle",
+        "chair",
+        "chimpanzee",
+        "clock",
+        "cloud",
+        "cockroach",
+        "couch",
+        "cra",
+        "crocodile",
+        "cup",
+        "dinosaur",
+        "dolphin",
+        "elephant",
+        "flatfish",
+        "forest",
+        "fox",
+        "girl",
+        "hamster",
+        "house",
+        "kangaroo",
+        "keyboard",
+        "lamp",
+        "lawn_mower",
+        "leopard",
+        "lion",
+        "lizard",
+        "lobster",
+        "man",
+        "maple_tree",
+        "motorcycle",
+        "mountain",
+        "mouse",
+        "mushroom",
+        "oak_tree",
+        "orange",
+        "orchid",
+        "otter",
+        "palm_tree",
+        "pear",
+        "pickup_truck",
+        "pine_tree",
+        "plain",
+        "plate",
+        "poppy",
+        "porcupine",
+        "possum",
+        "rabbit",
+        "raccoon",
+        "ray",
+        "road",
+        "rocket",
+        "rose",
+        "sea",
+        "seal",
+        "shark",
+        "shrew",
+        "skunk",
+        "skyscraper",
+        "snail",
+        "snake",
+        "spider",
+        "squirrel",
+        "streetcar",
+        "sunflower",
+        "sweet_pepper",
+        "table",
+        "tank",
+        "telephone",
+        "television",
+        "tiger",
+        "tractor",
+        "train",
+        "trout",
+        "tulip",
+        "turtle",
+        "wardrobe",
+        "whale",
+        "willow_tree",
+        "wolf",
+        "woman",
+        "worm"
+      ],
+      "_type": "ClassLabel"
+    },
+    "target": {
+      "names": [
+        "aquatic_mammals",
+        "fish",
+        "flowers",
+        "food_containers",
+        "fruit_and_vegetables",
+        "household_electrical_devices",
+        "household_furniture",
+        "insects",
+        "large_carnivores",
+        "large_man-made_outdoor_things",
+        "large_natural_outdoor_scenes",
+        "large_omnivores_and_herbivores",
+        "medium_mammals",
+        "non-insect_invertebrates",
+        "people",
+        "reptiles",
+        "small_mammals",
+        "trees",
+        "vehicles_1",
+        "vehicles_2"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 112751356,
+      "num_examples": 50000,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "60ffb30ff5ec2046",
+  "_format_columns": [
+    "feat_fine_label",
+    "image",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}

processed/valid/data-00000-of-00001.arrow

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+version https://git-lfs.github.com/spec/v1
+oid sha256:744734a2591c2ae8972da1c9730f5a89912658c8af43c46dc530731ed98ce8fe
+size 22611224

processed/valid/dataset_info.json

@@ -0,0 +1,149 @@
+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "image": {
+      "_type": "Image"
+    },
+    "feat_fine_label": {
+      "names": [
+        "apple",
+        "aquarium_fish",
+        "baby",
+        "bear",
+        "beaver",
+        "bed",
+        "bee",
+        "beetle",
+        "bicycle",
+        "bottle",
+        "bowl",
+        "boy",
+        "bridge",
+        "bus",
+        "butterfly",
+        "camel",
+        "can",
+        "castle",
+        "caterpillar",
+        "cattle",
+        "chair",
+        "chimpanzee",
+        "clock",
+        "cloud",
+        "cockroach",
+        "couch",
+        "cra",
+        "crocodile",
+        "cup",
+        "dinosaur",
+        "dolphin",
+        "elephant",
+        "flatfish",
+        "forest",
+        "fox",
+        "girl",
+        "hamster",
+        "house",
+        "kangaroo",
+        "keyboard",
+        "lamp",
+        "lawn_mower",
+        "leopard",
+        "lion",
+        "lizard",
+        "lobster",
+        "man",
+        "maple_tree",
+        "motorcycle",
+        "mountain",
+        "mouse",
+        "mushroom",
+        "oak_tree",
+        "orange",
+        "orchid",
+        "otter",
+        "palm_tree",
+        "pear",
+        "pickup_truck",
+        "pine_tree",
+        "plain",
+        "plate",
+        "poppy",
+        "porcupine",
+        "possum",
+        "rabbit",
+        "raccoon",
+        "ray",
+        "road",
+        "rocket",
+        "rose",
+        "sea",
+        "seal",
+        "shark",
+        "shrew",
+        "skunk",
+        "skyscraper",
+        "snail",
+        "snake",
+        "spider",
+        "squirrel",
+        "streetcar",
+        "sunflower",
+        "sweet_pepper",
+        "table",
+        "tank",
+        "telephone",
+        "television",
+        "tiger",
+        "tractor",
+        "train",
+        "trout",
+        "tulip",
+        "turtle",
+        "wardrobe",
+        "whale",
+        "willow_tree",
+        "wolf",
+        "woman",
+        "worm"
+      ],
+      "_type": "ClassLabel"
+    },
+    "target": {
+      "names": [
+        "aquatic_mammals",
+        "fish",
+        "flowers",
+        "food_containers",
+        "fruit_and_vegetables",
+        "household_electrical_devices",
+        "household_furniture",
+        "insects",
+        "large_carnivores",
+        "large_man-made_outdoor_things",
+        "large_natural_outdoor_scenes",
+        "large_omnivores_and_herbivores",
+        "medium_mammals",
+        "non-insect_invertebrates",
+        "people",
+        "reptiles",
+        "small_mammals",
+        "trees",
+        "vehicles_1",
+        "vehicles_2"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 22605511,
+      "num_examples": 10000,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "94040d361a025d66",
+  "_format_columns": [
+    "feat_fine_label",
+    "image",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_output_all_columns": false,
+  "_split": null
+}