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# /// 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()
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