#!/usr/bin/env python3 import argparse import json import re from pathlib import Path import orjson def clean_text(t: str) -> str: t = t.strip() # normalize whitespace t = re.sub(r"\s+", " ", t) # remove leading/trailing punctuation artifacts t = re.sub(r"^[\-\–\—\.\,\;\:\!\?\"\']+\s*", "", t) t = re.sub(r"\s*[\-\–\—\.\,\;\:\!\?\"\']+$", "", t) # normalize quotes t = t.replace("’", "'").replace("“", '"').replace("”", '"') # lowercase except acronyms (simple heuristic) if not re.search(r"[A-Z]{2,}", t): t = t.lower() # remove filler tokens common in ASR t = re.sub(r"\b(euh+|heu+|hum+)\b", "", t) t = re.sub(r"\s+", " ", t).strip() return t def main() -> None: parser = argparse.ArgumentParser(description="Clean transcript texts in-place or to a new file.") parser.add_argument("--jsonl", required=True, help="Input JSONL") parser.add_argument("--out", required=True, help="Output JSONL (can overwrite input)") args = parser.parse_args() with open(args.out, "w", encoding="utf-8") as out_f, open(args.jsonl, "r", encoding="utf-8") as in_f: for line in in_f: if not line.strip(): continue rec = json.loads(line) if "text" in rec and rec["text"]: rec["text"] = clean_text(rec["text"]) out_f.write(orjson.dumps(rec).decode("utf-8") + "\n") print(f"Cleaned texts -> {args.out}") if __name__ == "__main__": main()