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import json |
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import os |
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from datasets import DatasetInfo, GeneratorBasedBuilder, Split, SplitGenerator, Features, Value |
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class IrrisightDataset(GeneratorBasedBuilder): |
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VERSION = "1.0.0" |
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def _info(self): |
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return DatasetInfo( |
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description="IRRISIGHT dataset with compressed tar.gz archives", |
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features=Features({ |
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"image_path": Value("string"), |
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"label_type": Value("string"), |
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"text_prompt": Value("string"), |
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"polygon": Value("string"), |
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"crs": Value("string"), |
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"split": Value("string") |
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}), |
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) |
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def _split_generators(self, dl_manager): |
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downloaded = dl_manager.download_and_extract({ |
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"tar": "https://huggingface.co/datasets/Nibir/IRRISIGHT/resolve/main/Data/New%20Jersey/2023.tar.gz", |
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"meta": "https://huggingface.co/datasets/Nibir/IRRISIGHT/resolve/main/Data/New%20Jersey/metadata.jsonl" |
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}) |
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print(downloaded) |
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return [ |
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SplitGenerator( |
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name=Split.TRAIN, |
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gen_kwargs={ |
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"metadata_path": downloaded["meta"], |
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"unzipped_dir": downloaded["tar"] |
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} |
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) |
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] |
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def _generate_examples(self, metadata_path, unzipped_dir): |
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with open(metadata_path, "r") as f: |
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for idx, line in enumerate(f): |
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record = json.loads(line) |
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image_path = os.path.join(unzipped_dir, record["image_path"]) |
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yield idx, { |
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"image_path": image_path, |
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"label_type": record.get("label_type", ""), |
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"text_prompt": record.get("text_prompt", ""), |
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"polygon": record.get("polygon", ""), |
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"crs": record.get("crs", ""), |
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"split": record.get("split", "") |
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} |
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