| 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() |
