Processed data from AutoTrain data processor ([2023-02-26 00:02 ]

README.md

@@ -1,4 +1,53 @@
 ---
-size_categories:
-- 1K<n<10K
----
+task_categories:
+- image-classification
+
+---
+# AutoTrain Dataset for project: weather-classification
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project weather-classification.
+
+### 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": "<771x514 RGB PIL image>",
+    "target": 2
+  },
+  {
+    "image": "<269x254 RGB PIL image>",
+    "target": 8
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(names=['dew', 'fogsmog', 'frost', 'glaze', 'hail', 'lightning', 'rain', 'rainbow', 'rime', 'sandstorm', 'snow'], 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        | 5484 |
+| valid        | 1378 |

processed/dataset_dict.json

@@ -0,0 +1 @@
+{"splits": ["train", "valid"]}

processed/train/dataset.arrow

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+oid sha256:2de35bff0be4ccf492d10a882ef76de980b5ad26cf80f0f9ef56969b3188535d
+size 496258008

processed/train/dataset_info.json

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+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "image": {
+      "_type": "Image"
+    },
+    "target": {
+      "names": [
+        "dew",
+        "fogsmog",
+        "frost",
+        "glaze",
+        "hail",
+        "lightning",
+        "rain",
+        "rainbow",
+        "rime",
+        "sandstorm",
+        "snow"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 496255500,
+      "num_examples": 5484,
+      "dataset_name": null
+    }
+  }
+}

processed/train/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "dataset.arrow"
+    }
+  ],
+  "_fingerprint": "f05b401f013b8213",
+  "_format_columns": [
+    "image",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_indexes": {},
+  "_output_all_columns": false,
+  "_split": null
+}

processed/valid/dataset.arrow

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+version https://git-lfs.github.com/spec/v1
+oid sha256:86ba8969d4bf2cff095e88c0ad5625bddb6b618fd6beb10ae80147c58f9ff151
+size 140642624

processed/valid/dataset_info.json

@@ -0,0 +1,35 @@
+{
+  "citation": "",
+  "description": "AutoTrain generated dataset",
+  "features": {
+    "image": {
+      "_type": "Image"
+    },
+    "target": {
+      "names": [
+        "dew",
+        "fogsmog",
+        "frost",
+        "glaze",
+        "hail",
+        "lightning",
+        "rain",
+        "rainbow",
+        "rime",
+        "sandstorm",
+        "snow"
+      ],
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "splits": {
+    "valid": {
+      "name": "valid",
+      "num_bytes": 140641424,
+      "num_examples": 1378,
+      "dataset_name": null
+    }
+  }
+}

processed/valid/state.json

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+{
+  "_data_files": [
+    {
+      "filename": "dataset.arrow"
+    }
+  ],
+  "_fingerprint": "a5df786dded191d5",
+  "_format_columns": [
+    "image",
+    "target"
+  ],
+  "_format_kwargs": {},
+  "_format_type": null,
+  "_indexes": {},
+  "_output_all_columns": false,
+  "_split": null
+}