script.py

# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "datasets",
#     "tqdm",
# ]
# ///
"""Template UV script for hfjobs.

This is a template script. Customize it for your needs!

Usage:
    python script.py <input> <output> [--option value]
"""

import argparse
from datasets import load_dataset
from tqdm import tqdm


def main():
    parser = argparse.ArgumentParser(description="Template UV script")
    parser.add_argument("input", help="Input dataset")
    parser.add_argument("output", help="Output dataset")
    parser.add_argument("--text-column", default="text", help="Text column name")
    
    args = parser.parse_args()
    
    print(f"Loading dataset: {args.input}")
    dataset = load_dataset(args.input, split="train")
    
    # Your processing logic here
    print(f"Processing {len(dataset)} examples...")
    
    # Example: simple transformation
    def process_example(example):
        # Add your transformation logic
        return example
    
    processed = dataset.map(process_example, desc="Processing")
    
    print(f"Pushing to: {args.output}")
    processed.push_to_hub(args.output)
    
    print("✅ Done!")


if __name__ == "__main__":
    main()