Upload plantsdataset.py

plantsdataset.py

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+# -*- coding: utf-8 -*-
+"""PlantsDataset
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/13QeVLQP2QGaxkGcaoMi25geoBxHQ_3rQ
+"""
+
+from datasets import Dataset, DatasetInfo, Features, Value, Split, DownloadManager, GeneratorBasedBuilder
+from datasets import SplitGenerator
+# URL for the datasethttps://drive.google.com/file/d/1fXgVwhdU5YGj0SPIcHxSpxkhvRh54oEH/view?usp=share_link
+import os
+from datasets import Dataset, DatasetInfo, Features, Value, Split, GeneratorBasedBuilder
+
+# Google Drive ID for your ZIP file
+_DRIVE_ID = "1fXgVwhdU5YGj0SPIcHxSpxkhvRh54oEH"
+_URL = f"https://drive.google.com/uc?export=download&id={_DRIVE_ID}"
+
+# Custom Dataset Class
+class PlantsDataset(GeneratorBasedBuilder):
+    VERSION = "1.0.0"
+
+    def _info(self):
+        features = Features({
+            "image": Value("string"),  # Replace with the actual datatype for your image data
+            "label": Value("int64"),   # Replace with the actual datatype for your label data
+        })
+        return DatasetInfo(
+            description="Your dataset description",
+            features=features,
+            supervised_keys=("image", "label"),
+            homepage="Your dataset homepage",
+            citation="Citation for your dataset",
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_file = dl_manager.download_and_extract(_URL)
+
+        return [
+            SplitGenerator(
+                name=Split.TRAIN,
+                gen_kwargs={
+                    "data_folder": os.path.join(downloaded_file, "train"),
+                },
+            ),
+            SplitGenerator(
+                name=Split.TEST,
+                gen_kwargs={
+                    "data_folder": os.path.join(downloaded_file, "test"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, data_folder):
+      for label, subfolder in enumerate(["gigantic", "small"]):
+          subfolder_path = os.path.join(data_folder, subfolder)
+          for root, _, files in os.walk(subfolder_path):
+              for file_name in files:
+                  file_path = os.path.join(root, file_name)
+
+                  # Check if file_path is a file, not a directory
+                  if os.path.isfile(file_path):
+                      # Yield the example
+                      yield {
+                          "image": file_path,
+                          "label": label,
+                      }
+
+
+# Create an instance of the PlantsDataset class
+plants_dataset = PlantsDataset()
+
+# Build and upload the dataset
+plants_dataset.download_and_prepare()