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| """CLI: build synthetic GEC pairs by running Gipformer over TTS audio (paper §4.1 Step 3). | |
| python scribe/training/scripts/make_synth_pairs.py \ | |
| --input artifacts/synthetic/synthetic_audio_manifest_smoke.jsonl \ | |
| --output artifacts/gec_pairs/darag_synthetic_pairs_smoke.jsonl \ | |
| --datastore artifacts/retrieval/term_datastore_smoke.json --limit 10 --resume | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import sys | |
| from pathlib import Path | |
| sys.path.insert(0, str(Path(__file__).resolve().parents[3] / "scribe" / "training")) | |
| sys.path.insert(0, str(Path(__file__).resolve().parents[3] / "scribe")) | |
| from gec.cliutil import configure_stdout # noqa: E402 | |
| configure_stdout() | |
| from carepath.config import Settings # noqa: E402 | |
| from gec.data import build_synthetic_pairs, read_jsonl, validate_gec_pair # noqa: E402 | |
| from gec.retrieval import build_ne_retriever # noqa: E402 | |
| from carepath.services.asr import build_asr_service # noqa: E402 | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--input", required=True, help="JSONL from voice_clone_tts.py") | |
| parser.add_argument("--output", default="artifacts/gec_pairs/darag_synthetic_pairs.jsonl") | |
| parser.add_argument("--datastore", default="data/medical_lexicon.json") | |
| parser.add_argument("--retrieval-backend", default="lexical", choices=["lexical", "semantic", "hybrid"]) | |
| parser.add_argument("--limit", type=int, default=None) | |
| parser.add_argument("--n-best", type=int, default=1, help="paper N=5; >1 adds perturbation N-best") | |
| parser.add_argument("--resume", action="store_true") | |
| args = parser.parse_args() | |
| rows = read_jsonl(Path(args.input)) | |
| if args.limit: | |
| rows = rows[: args.limit] | |
| settings = Settings.from_env() | |
| asr = build_asr_service(settings) | |
| retriever = build_ne_retriever( | |
| Path(args.datastore), backend=args.retrieval_backend, top_k=settings.retrieval_top_k | |
| ) | |
| output_path = Path(args.output) | |
| output_path.parent.mkdir(parents=True, exist_ok=True) | |
| completed = _completed(output_path) if args.resume else set() | |
| mode = "a" if args.resume and output_path.exists() else "w" | |
| written = 0 | |
| with output_path.open(mode, encoding="utf-8") as handle: | |
| for pair in build_synthetic_pairs( | |
| rows, retriever=retriever, asr=asr, completed_ids=completed, n_best=args.n_best | |
| ): | |
| result = validate_gec_pair(pair) | |
| if not result.ok: | |
| raise ValueError(f"Invalid synthetic pair {pair.get('audio_id')}: {result.errors}") | |
| handle.write(json.dumps(pair, ensure_ascii=False) + "\n") | |
| handle.flush() | |
| written += 1 | |
| print(f"Wrote {written} synthetic GEC pairs to {output_path}") | |
| def _completed(path: Path) -> set[str]: | |
| if not path.exists(): | |
| return set() | |
| return {row["audio_id"] for row in read_jsonl(path) if row.get("audio_id")} | |
| if __name__ == "__main__": | |
| main() | |