Datasets:
File size: 2,949 Bytes
869146a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | #!/usr/bin/env python3
import argparse
import csv
import re
from pathlib import Path
def parse_args():
parser = argparse.ArgumentParser(
description="Create metadata file (audio|text) for QuEsT, optionally filtered by language."
)
parser.add_argument(
"--root",
type=Path,
default=Path(__file__).resolve().parent,
help="Root directory containing train/test folders and transcripts.txt",
)
parser.add_argument(
"--split",
choices=["train", "test"],
default="train",
help="Dataset split to scan for audio files.",
)
parser.add_argument(
"--lang",
choices=["qu", "es", "both"],
default="qu",
help="Language to include based on filename suffix.",
)
parser.add_argument(
"--output",
type=Path,
help="Path to write metadata file. Defaults to <split>_metadata_<lang>.txt under root.",
)
return parser.parse_args()
def load_transcripts(transcripts_path: Path):
id2pair = {}
with transcripts_path.open(encoding="utf-8") as f:
reader = csv.reader(f, delimiter="|", quotechar='"')
for row in reader:
if len(row) < 3:
continue
rid, qu, es = row[0].strip(), row[1].strip(), row[2].strip()
id2pair[(rid, "qu")] = qu
id2pair[(rid, "es")] = es
rid_nz = rid.lstrip("0") or "0"
id2pair[(rid_nz, "qu")] = qu
id2pair[(rid_nz, "es")] = es
return id2pair
def main():
args = parse_args()
root = args.root.resolve()
transcripts = root / "transcripts.txt"
if not transcripts.exists():
raise FileNotFoundError(f"transcripts.txt not found at {transcripts}")
lang_filter = {"qu", "es"} if args.lang == "both" else {args.lang}
output = args.output or root / f"{args.split}_metadata_{args.lang}.txt"
id2text = load_transcripts(transcripts)
pattern = re.compile(r"(?:.*_)?(qu|es)_(\d+)\.wav$", re.IGNORECASE)
audio_root = root / args.split
if not audio_root.exists():
raise FileNotFoundError(f"Split directory not found: {audio_root}")
count = 0
skipped = 0
with output.open("w", encoding="utf-8") as fout:
for wav in audio_root.rglob("*.wav"):
match = pattern.search(wav.name)
if not match:
continue
lang, idx = match.group(1).lower(), match.group(2)
if lang not in lang_filter:
continue
idx_norm = idx.lstrip("0") or "0"
text = id2text.get((idx_norm, lang))
if not text:
skipped += 1
continue
rel = wav.relative_to(root).as_posix()
fout.write(f"{rel}|{text}\n")
count += 1
print(f"[OK] wrote {output} with {count} rows (skipped {skipped} lacking transcripts).")
if __name__ == "__main__":
main()
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