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e2ad6cc | 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 | import os
from datasets import load_dataset
BASE_DIR = "/home/cloud/StyleTTS2-fine-tuning"
OUTPUT_DIR = os.path.join(BASE_DIR, "Data")
OUTPUT_FILE = os.path.join(OUTPUT_DIR, "OOD.txt")
HF_DATASET_ID = "agentlans/high-quality-english-sentences"
os.makedirs(OUTPUT_DIR, exist_ok=True)
def download_and_save_text():
print(f"Downloading first 10,000 lines from {HF_DATASET_ID}...")
ds = load_dataset(HF_DATASET_ID, split="train[8000:18000]")
text_column = "text"
if "sentence" in ds.column_names:
text_column = "sentence"
elif "content" in ds.column_names:
text_column = "content"
print(f"Extracting to {OUTPUT_FILE}...")
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
for row in ds:
line = row[text_column]
if line and isinstance(line, str):
clean_line = line.strip()
if clean_line:
f.write(clean_line + "\n")
print(f"Saved {len(ds)} lines to {OUTPUT_FILE}")
if __name__ == "__main__":
download_and_save_text() |