Download process/map_yaseen.py from OpenTSLab/MachineHearing: direct link, hf CLI and curl.
- Browser
- Download file 1.2 kB
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https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/process/map_yaseen.py
- Command line
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hf download hf://datasets/OpenTSLab/MachineHearing/process/map_yaseen.py
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curl -L -o map_yaseen.py https://huggingface.co/datasets/OpenTSLab/MachineHearing/resolve/main/process/map_yaseen.py
1.2 kB
| import argparse | |
| import json | |
| import shutil | |
| from pathlib import Path | |
| MHB_ROOT = Path(__file__).resolve().parent.parent | |
| def main(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("data_dir", type=Path) | |
| args = parser.parse_args() | |
| data_dir = args.data_dir.expanduser().resolve() | |
| assert data_dir.is_dir(), f"Not found: {data_dir}" | |
| count = 0 | |
| with (MHB_ROOT / "meta_data.jsonl").open("r", encoding="utf-8") as f: | |
| for line in f: | |
| if not line.strip(): | |
| continue | |
| record = json.loads(line) | |
| if record["task_name"] != "Yaseen": | |
| continue | |
| name = f"{record['id']}.wav" | |
| category = record["id"].split("_")[1] | |
| src = data_dir / f"{category}_New_3주기" / name | |
| dst = MHB_ROOT / record["input_ts"]["path"] | |
| assert src.is_file(), f"Missing: {src}" | |
| assert dst.name == name | |
| dst.parent.mkdir(parents=True, exist_ok=True) | |
| shutil.copy2(src, dst) | |
| count += 1 | |
| assert count == 200, f"Expected 200, got {count}" | |
| print(f"Yaseen: copied {count} WAV files") | |
| if __name__ == "__main__": | |
| main() | |