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import argparse |
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from datasets import load_dataset |
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from project_settings import project_path |
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def get_args(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument( |
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"--dataset_path", |
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default="nx_noise.py", |
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type=str |
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) |
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parser.add_argument("--dataset_name", default="en-PH_2025-01-14.zip", type=str) |
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parser.add_argument( |
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"--dataset_cache_dir", |
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default=(project_path / "hub_datasets").as_posix(), |
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type=str |
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) |
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args = parser.parse_args() |
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return args |
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def main(): |
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args = get_args() |
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dataset = load_dataset( |
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path=args.dataset_path, |
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name=args.dataset_name, |
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cache_dir=args.dataset_cache_dir, |
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streaming=True, |
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trust_remote_code=True, |
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) |
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for sample in dataset["train"]: |
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print(sample) |
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print("-" * 150) |
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return |
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if __name__ == "__main__": |
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main() |
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