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https://huggingface.co/datasets/k9cli/video-vec2wav2-tokenizer/resolve/main/utils/io.py
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3.68 kB
| """Core data models and IO helpers shared across the pipeline.""" | |
| from __future__ import annotations | |
| import json | |
| from dataclasses import dataclass, field, asdict | |
| from pathlib import Path | |
| from typing import Any, Iterable, Iterator, Optional | |
| VIDEO_EXTENSIONS: frozenset[str] = frozenset( | |
| {".mp4", ".mkv", ".avi", ".mov", ".webm"} | |
| ) | |
| class Segment: | |
| """A single transcribed time span. | |
| Serializes to the spec's shape: ``{"start": .., "end": .., "text": ..}``. | |
| """ | |
| start: float | |
| end: float | |
| text: str | |
| def duration(self) -> float: | |
| return max(0.0, self.end - self.start) | |
| def to_dict(self) -> dict[str, Any]: | |
| return {"start": round(self.start, 3), "end": round(self.end, 3), "text": self.text} | |
| def from_dict(cls, data: dict[str, Any]) -> "Segment": | |
| return cls( | |
| start=float(data["start"]), | |
| end=float(data["end"]), | |
| text=str(data["text"]).strip(), | |
| ) | |
| class DatasetEntry: | |
| """A finalized dataset row pointing at a clipped audio file.""" | |
| audio: str # relative path, e.g. "audio/000001.wav" | |
| text: str | |
| duration: float | |
| speaker: Optional[str] = None | |
| language: Optional[str] = None | |
| source_video: Optional[str] = None | |
| def to_jsonl_dict(self) -> dict[str, Any]: | |
| """Match the spec: audio/text/duration (extra keys retained if present).""" | |
| row: dict[str, Any] = { | |
| "audio": self.audio, | |
| "text": self.text, | |
| "duration": round(self.duration, 3), | |
| } | |
| if self.speaker is not None: | |
| row["speaker"] = self.speaker | |
| if self.language is not None: | |
| row["language"] = self.language | |
| return row | |
| def from_dict(cls, data: dict[str, Any]) -> "DatasetEntry": | |
| return cls( | |
| audio=str(data["audio"]), | |
| text=str(data["text"]), | |
| duration=float(data["duration"]), | |
| speaker=data.get("speaker"), | |
| language=data.get("language"), | |
| source_video=data.get("source_video"), | |
| ) | |
| def ensure_dir(path: str | Path) -> Path: | |
| """Create ``path`` (and parents) if needed and return it as ``Path``.""" | |
| p = Path(path) | |
| p.mkdir(parents=True, exist_ok=True) | |
| return p | |
| def iter_video_files(root: str | Path) -> Iterator[Path]: | |
| """Recursively yield supported video files under ``root`` (sorted, stable).""" | |
| root_path = Path(root) | |
| if not root_path.exists(): | |
| raise FileNotFoundError(f"Video directory not found: {root_path}") | |
| for path in sorted(root_path.rglob("*")): | |
| if path.is_file() and path.suffix.lower() in VIDEO_EXTENSIONS: | |
| yield path | |
| def write_jsonl(path: str | Path, rows: Iterable[dict[str, Any]]) -> int: | |
| """Stream ``rows`` to a JSONL file. Returns the number of rows written.""" | |
| ensure_dir(Path(path).parent) | |
| count = 0 | |
| with Path(path).open("w", encoding="utf-8") as fh: | |
| for row in rows: | |
| fh.write(json.dumps(row, ensure_ascii=False)) | |
| fh.write("\n") | |
| count += 1 | |
| return count | |
| def read_jsonl(path: str | Path) -> Iterator[dict[str, Any]]: | |
| """Lazily read a JSONL file, yielding one dict per non-empty line.""" | |
| with Path(path).open("r", encoding="utf-8") as fh: | |
| for line in fh: | |
| line = line.strip() | |
| if line: | |
| yield json.loads(line) | |
| def clip_index_name(index: int, *, width: int = 6, ext: str = "wav") -> str: | |
| """Return a zero-padded clip filename, e.g. ``000001.wav``.""" | |
| return f"{index:0{width}d}.{ext}" | |