Download preprocess/common.py from tsinghua-ee/ELLSA2_data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/tsinghua-ee/ELLSA2_data/resolve/main/preprocess/common.py
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hf download hf://datasets/tsinghua-ee/ELLSA2_data/preprocess/common.py
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curl -L -o common.py https://huggingface.co/datasets/tsinghua-ee/ELLSA2_data/resolve/main/preprocess/common.py
1.3 kB
| """Shared manifest I/O and participant identity for data preparation.""" | |
| import json | |
| from pathlib import Path | |
| import re | |
| SPEAKER = re.compile(r"(?:^|_)P([^_/.]+)", re.IGNORECASE) | |
| def normalize_speaker_id(value): | |
| return str(value).strip().upper().removeprefix("P") | |
| def infer_speaker_id(sample): | |
| for key in ("speaker_id", "speaker", "person_id"): | |
| if sample.get(key) is not None and str(sample[key]).strip(): | |
| return normalize_speaker_id(sample[key]) | |
| for key in ("audio_file", "pose_file"): | |
| match = SPEAKER.search(Path(sample.get(key, "")).name) | |
| if match: | |
| return normalize_speaker_id(match[1]) | |
| raise ValueError("Recording has no participant identity") | |
| def load_manifest(path): | |
| value = json.loads(Path(path).read_text()) | |
| rows = value["data"] if isinstance(value, dict) else value | |
| assert isinstance(rows, list) and all(isinstance(row, dict) for row in rows) | |
| return rows, value if isinstance(value, dict) else None | |
| def write_manifest(path, rows, original=None, **metadata): | |
| value = {**original, "data": rows, **metadata} if original is not None else rows | |
| output = Path(path) | |
| output.parent.mkdir(parents=True, exist_ok=True) | |
| output.write_text(json.dumps(value, indent=2, ensure_ascii=False) + "\n") | |