Processed data from AutoTrain data processor ([2022-09-02 16:13 ]

README.md

@@ -1,3 +1,53 @@
-## Dataset card for dog-classifiers training
+---
+task_categories:
+- image-classification
 
- ![](raw/image_folders/auto/images/akita%20inu/0.jpg)
+---
+# AutoTrain Dataset for project: dog-classifiers
+
+## Dataset Descritpion
+
+This dataset has been automatically processed by AutoTrain for project dog-classifiers.
+
+### 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": "<474x592 RGB PIL image>",
+    "target": 1
+  },
+  {
+    "image": "<474x296 RGB PIL image>",
+    "target": 1
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(num_classes=5, names=['akita inu', 'corgi', 'leonberger', 'samoyed', 'shiba inu'], 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        | 598 |
+| valid        | 150 |

processed/dataset_dict.json

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

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processed/train/dataset_info.json

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+      "_type": "ClassLabel"
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+  "license": "",
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+}

processed/train/state.json

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+    "image",
+    "target"
+  ],
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processed/valid/dataset_info.json

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+  "builder_name": null,
+  "citation": "",
+  "config_name": null,
+  "dataset_size": null,
+  "description": "AutoTrain generated dataset",
+  "download_checksums": null,
+  "download_size": null,
+  "features": {
+    "image": {
+      "decode": true,
+      "id": null,
+      "_type": "Image"
+    },
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+      "num_classes": 5,
+      "names": [
+        "akita inu",
+        "corgi",
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+        "samoyed",
+        "shiba inu"
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+      "_type": "ClassLabel"
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+      "num_examples": 150,
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+  "version": null
+}

processed/valid/state.json

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+}