Processed data from AutoTrain data processor ([2022-09-09 20:32 ]

README.md

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+---
+task_categories:
+- image-classification
+
+---
+# AutoTrain Dataset for project: donut-vs-croissant
+
+## Dataset Descritpion
+
+This dataset has been automatically processed by AutoTrain for project donut-vs-croissant.
+
+### 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": "<512x512 RGB PIL image>",
+    "target": 0
+  },
+  {
+    "image": "<512x512 RGB PIL image>",
+    "target": 0
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(num_classes=2, names=['croissant', 'donut'], 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        | 133 |
+| valid        | 362 |

processed/dataset_dict.json

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processed/train/dataset_info.json

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+}

processed/train/state.json

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processed/valid/dataset_info.json

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+  "description": "AutoTrain generated dataset",
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+  "features": {
+    "image": {
+      "decode": true,
+      "id": null,
+      "_type": "Image"
+    },
+    "target": {
+      "num_classes": 2,
+      "names": [
+        "croissant",
+        "donut"
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+}

processed/valid/state.json

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+}