Processed data from AutoTrain data processor ([2022-10-19 14:45 ]

README.md

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+---
+task_categories:
+- image-classification
+
+---
+# AutoTrain Dataset for project: swin-muppet
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project swin-muppet.
+
+### 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": "<286x286 RGB PIL image>",
+    "target": 7
+  },
+  {
+    "image": "<169x170 RGB PIL image>",
+    "target": 13
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(num_classes=24, names=['Animal', 'Beaker', 'Bert', 'BigBird', 'Bunsen', 'Camilla', 'CookieMonster', 'Elmo', 'Ernie', 'Floyd', 'Fozzie', 'Gonzo', 'Grover', 'Kermit', 'Oscar', 'Pepe', 'Piggy', 'Rowlf', 'Scooter', 'Statler', 'SwedishChef', 'TheCount', 'Waldorf', 'Zoot'], 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        | 599 |
+| valid        | 162 |

processed/dataset_dict.json

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processed/train/dataset.arrow

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processed/train/dataset_info.json

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+  "citation": "",
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+  "description": "AutoTrain generated dataset",
+  "download_checksums": null,
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+  "features": {
+    "image": {
+      "decode": true,
+      "id": null,
+      "_type": "Image"
+    },
+    "target": {
+      "num_classes": 24,
+      "names": [
+        "Animal",
+        "Beaker",
+        "Bert",
+        "BigBird",
+        "Bunsen",
+        "Camilla",
+        "CookieMonster",
+        "Elmo",
+        "Ernie",
+        "Floyd",
+        "Fozzie",
+        "Gonzo",
+        "Grover",
+        "Kermit",
+        "Oscar",
+        "Pepe",
+        "Piggy",
+        "Rowlf",
+        "Scooter",
+        "Statler",
+        "SwedishChef",
+        "TheCount",
+        "Waldorf",
+        "Zoot"
+      ],
+      "id": null,
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "post_processed": null,
+  "post_processing_size": null,
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+  "splits": {
+    "train": {
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+      "num_examples": 599,
+      "dataset_name": null
+    }
+  },
+  "supervised_keys": null,
+  "task_templates": null,
+  "version": null
+}

processed/train/state.json

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+      "filename": "dataset.arrow"
+    }
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+    "image",
+    "target"
+  ],
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+  "_split": null
+}

processed/valid/dataset.arrow

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processed/valid/dataset_info.json

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+  "citation": "",
+  "config_name": null,
+  "dataset_size": null,
+  "description": "AutoTrain generated dataset",
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+      "id": null,
+      "_type": "Image"
+    },
+    "target": {
+      "num_classes": 24,
+      "names": [
+        "Animal",
+        "Beaker",
+        "Bert",
+        "BigBird",
+        "Bunsen",
+        "Camilla",
+        "CookieMonster",
+        "Elmo",
+        "Ernie",
+        "Floyd",
+        "Fozzie",
+        "Gonzo",
+        "Grover",
+        "Kermit",
+        "Oscar",
+        "Pepe",
+        "Piggy",
+        "Rowlf",
+        "Scooter",
+        "Statler",
+        "SwedishChef",
+        "TheCount",
+        "Waldorf",
+        "Zoot"
+      ],
+      "id": null,
+      "_type": "ClassLabel"
+    }
+  },
+  "homepage": "",
+  "license": "",
+  "post_processed": null,
+  "post_processing_size": null,
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+  "splits": {
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+      "num_examples": 162,
+      "dataset_name": null
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+  "version": null
+}

processed/valid/state.json

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+  "_output_all_columns": false,
+  "_split": null
+}