#!/usr/bin/env python3
"""Validate UTS2017_Bank dataset loading from HuggingFace Hub."""

from datasets import load_dataset


def main():
    """Test loading all dataset configurations from HuggingFace Hub."""
    configs = ["classification", "sentiment", "aspect_sentiment"]

    print("🔍 Validating UTS2017_Bank dataset...")

    for config in configs:
        try:
            dataset = load_dataset("undertheseanlp/UTS2017_Bank", config)
            train_size = len(dataset["train"])
            test_size = len(dataset["test"])
            print(f"✅ {config}: {train_size} train, {test_size} test")
        except Exception as e:
            print(f"❌ {config}: {e}")
            return False

    print("\n🎉 All configurations loaded successfully!")
    print("💡 Usage: load_dataset('undertheseanlp/UTS2017_Bank', '<config>')")
    return True


if __name__ == "__main__":
    main()