# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "datasets",
# ]
# ///
"""Filter examples by length."""

import argparse
from datasets import load_dataset


def main():
    parser = argparse.ArgumentParser(description="Filter by length")
    parser.add_argument("input_dataset")
    parser.add_argument("output_dataset")
    parser.add_argument("--min-length", type=int, default=100)
    
    args = parser.parse_args()
    
    dataset = load_dataset(args.input_dataset, split="train")
    filtered = dataset.filter(lambda x: len(x["text"]) >= args.min_length)
    filtered.push_to_hub(args.output_dataset)
    print("✅ Done!")


if __name__ == "__main__":
    main()