# -*- coding: utf-8 -*- import json import wave from pathlib import Path import numpy as np import pandas as pd ROOT = Path(__file__).resolve().parent.parent CONVERT_TASKS = {"GWOSC", "LEAVES", "Iquique", "Llaima", "RadSeg", "RadioML"} def main(): total = converted = 0 with (ROOT / "meta_data.jsonl").open("r", encoding="utf-8") as fin, \ (ROOT / "wav_data.jsonl").open("w", encoding="utf-8") as fout: for line in fin: if not line.strip(): continue data = json.loads(line) if data["task_name"] in CONVERT_TASKS: data_type = data["data_type"] assert data_type in ("csv", "npy") src_rel = Path(data["input_ts"]["path"]) src_path = ROOT / src_rel assert src_rel.parent.name == "raw_input" and src_path.is_file() if data_type == "csv": signal = pd.read_csv(src_path, header=None).values else: signal = np.load(src_path) signal = signal.flatten().astype(np.float64) assert signal.size > 0 abs_max = np.max(np.abs(signal)) if abs_max > 0: signal = signal / abs_max signal = (signal * 32767).astype(np.int16) wav_rel = src_rel.parent.parent / "wav_input" / (src_rel.stem + ".wav") wav_path = ROOT / wav_rel wav_path.parent.mkdir(parents=True, exist_ok=True) with wave.open(str(wav_path), "wb") as wf: wf.setnchannels(1) wf.setsampwidth(2) wf.setframerate(16000) wf.writeframes(signal.tobytes()) data["data_type"] = "wav" data["input_ts"]["path"] = wav_rel.as_posix() data["input_ts"]["length"] = int(signal.size) data["input_ts"]["num_channel"] = 1 data["input_ts"]["fs"] = 16000 if data["task_name"] in ("Iquique", "RadSeg", "RadioML"): data["input_ts"]["channel_detail"] = [] converted += 1 fout.write(json.dumps(data, ensure_ascii=False) + "\n") total += 1 assert total == 6128 and converted == 3428 print(f"Done: {converted} WAV files, {total} JSONL records") if __name__ == "__main__": main()