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Update deepfruit_dataset.py

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  1. deepfruit_dataset.py +2 -2
deepfruit_dataset.py CHANGED
@@ -28,8 +28,8 @@ The "DeepFruit" dataset is a comprehensive collection designed for the advanceme
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  The type of fruit is determined by various external appearance features. The dataset, from Mendeley, comprises 21,122 images of 20 diverse fruit types across 8 different combinations. This dataset includes separate images and CSV files for training and testing, each containing varying quantities of each fruit. The objective of this study is to convert fruit images into the PIL (Python Imaging Library) format.
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  """
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  _URLS = {
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- "train": 'https://huggingface.co/datasets/sc890/deepfruit_dataset/resolve/main/Fruits_Dataset_Train.zip',
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- "test": 'https://huggingface.co/datasets/sc890/deepfruit_dataset/resolve/main/Fruits_Dataset_Test.zip',
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  }
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  class DeepFruitDataset(datasets.GeneratorBasedBuilder):
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  BUILDER_CONFIGS = [
 
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  The type of fruit is determined by various external appearance features. The dataset, from Mendeley, comprises 21,122 images of 20 diverse fruit types across 8 different combinations. This dataset includes separate images and CSV files for training and testing, each containing varying quantities of each fruit. The objective of this study is to convert fruit images into the PIL (Python Imaging Library) format.
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  """
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  _URLS = {
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+ "train": 'https://huggingface.co/datasets/sc890/DEEPFRUlT_DATASET/resolve/main/Fruits_Dataset_Train.zip',
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+ "test": 'https://huggingface.co/datasets/sc890/DEEPFRUlT_DATASET/resolve/main/Fruits_Dataset_Test.zip',
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  }
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  class DeepFruitDataset(datasets.GeneratorBasedBuilder):
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  BUILDER_CONFIGS = [