| import os |
| import json |
| import glob |
| from tqdm import tqdm |
|
|
| root = "/data/liuzihang/haobin/Noizues/noizeus" |
| output_path = "noizeus.jsonl" |
|
|
| |
| transcripts = { |
| "sp01": "THE BIRCH CANOE SLID ON THE SMOOTH PLANKS.", |
| "sp02": "HE KNEW THE SKILL OF THE GREAT YOUNG ACTRESS.", |
| "sp03": "HER PURSE WAS FULL OF USELESS TRASH.", |
| "sp04": "READ VERSE OUT LOUD FOR PLEASURE.", |
| "sp05": "WIPE THE GREASE OFF HIS DIRTY FACE.", |
| "sp06": "MEN STRIVE BUT SELDOM GET RICH.", |
| "sp07": "WE FIND JOY IN THE SIMPLEST THINGS.", |
| "sp08": "HEDGE APPLES MAY STAIN YOUR HANDS GREEN.", |
| "sp09": "HURDLE THE PIT WITH THE AID OF A LONG POLE.", |
| "sp10": "THE SKY THAT MORNING WAS CLEAR AND BRIGHT BLUE.", |
| "sp11": "HE WROTE DOWN A LONG LIST OF ITEMS.", |
| "sp12": "THE DRIP OF THE RAIN MADE A PLEASANT SOUND.", |
| "sp13": "SMOKE POURED OUT OF EVERY CRACK.", |
| "sp14": "HATS ARE WORN TO TEA AND NOT TO DINNER.", |
| "sp15": "THE CLOTHES DRIED ON A THIN WOODEN RACK.", |
| "sp16": "THE STRAY CAT GAVE BIRTH TO KITTENS.", |
| "sp17": "THE LAZY COW LAY IN THE COOL GRASS.", |
| "sp18": "THE FRIENDLY GANG LEFT THE DRUG STORE.", |
| "sp19": "WE TALKED OF THE SIDESHOW IN THE CIRCUS.", |
| "sp20": "THE SET OF CHINA HIT THE FLOOR WITH A CRASH.", |
| "sp21": "CLAMS ARE SMALL, ROUND, SOFT AND TASTY.", |
| "sp22": "THE LINE WHERE THE EDGES JOIN WAS CLEAN.", |
| "sp23": "STOP WHISTLING AND WATCH THE BOYS MARCH.", |
| "sp24": "A CRUISE IN WARM WATERS IN A SLEEK YACHT IS FUN.", |
| "sp25": "A GOOD BOOK INFORMS OF WHAT WE OUGHT TO KNOW.", |
| "sp26": "SHE HAS A SMART WAY OF WEARING CLOTHES.", |
| "sp27": "BRING YOUR BEST COMPASS TO THE THIRD CLASS.", |
| "sp28": "THE CLUB RENTED THE RINK FOR THE FIFTH NIGHT.", |
| "sp29": "THE FLINT SPUTTERED AND LIT A PINE TORCH.", |
| "sp30": "LET'S ALL JOIN AS WE SING THE LAST CHORUS." |
| } |
|
|
| |
| audio_files = sorted(glob.glob(os.path.join(root, "**/*.wav"), recursive=True)) |
|
|
| print(f"Found {len(audio_files)} audio files") |
|
|
| success_count = 0 |
| missing_count = 0 |
|
|
| with open(output_path, "w", encoding="utf-8") as fout: |
| for path in tqdm(audio_files, desc="Processing", ncols=100): |
| fname = os.path.basename(path) |
|
|
| |
| prefix = fname.split("_")[0].lower() |
|
|
| if prefix not in transcripts: |
| missing_count += 1 |
| continue |
|
|
| entry = { |
| "index": os.path.splitext(fname)[0], |
| "audio_path": path, |
| "question": "Please transcribe the audio content into text.", |
| "answer": transcripts[prefix], |
| "subset": "noizeus", |
| "prediction": "" |
| } |
|
|
| fout.write(json.dumps(entry, ensure_ascii=False) + "\n") |
| success_count += 1 |
|
|
| print("\n=== SUMMARY ===") |
| print(f"Total audio files: {len(audio_files)}") |
| print(f"Successfully added: {success_count}") |
| print(f"Missing transcripts: {missing_count}") |
| print(f"Output JSONL: {output_path}") |
|
|
