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import os |
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from datasets import DatasetInfo, GeneratorBasedBuilder, SplitGenerator, Split, Value, Features |
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class MyDataset(GeneratorBasedBuilder): |
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def _info(self): |
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return DatasetInfo( |
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description="Custom dataset with images and labels in separate folders", |
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features=Features({ |
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"image": Value("string"), |
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"label": Value("string") |
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}), |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = self.config.data_dir or "" |
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return [ |
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SplitGenerator(name=Split.TRAIN, gen_kwargs={"split_dir": os.path.join(data_dir, "train")}), |
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SplitGenerator(name=Split.TEST, gen_kwargs={"split_dir": os.path.join(data_dir, "test")}), |
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] |
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def _generate_examples(self, split_dir): |
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image_dir = os.path.join(split_dir, "images") |
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label_dir = os.path.join(split_dir, "labels") |
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idx = 0 |
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for image_name in sorted(os.listdir(image_dir)): |
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if not image_name.lower().endswith((".jpg", ".png", ".jpeg")): |
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continue |
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image_path = os.path.join(image_dir, image_name) |
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label_path = os.path.join(label_dir, os.path.splitext(image_name)[0] + ".txt") |
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if not os.path.exists(label_path): |
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continue |
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with open(label_path, "r") as f: |
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label = f.read().strip() |
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yield idx, { |
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"image": image_path, |
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"label": label, |
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} |
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idx += 1 |
