Refactor validation script - simple and elegant

- Reduced from 41 lines to 29 lines
- Single main() function with clear logic
- Concise output with essential information
- Added shebang for direct execution
- Returns boolean for programmatic use
- Clean, readable, and maintainable code

validate.py

@@ -1,41 +1,29 @@
-"""
-Validation script to verify the UTS2017_Bank dataset can be loaded from HuggingFace Hub.
-"""
+#!/usr/bin/env python3
+"""Validate UTS2017_Bank dataset loading from HuggingFace Hub."""
 
 from datasets import load_dataset
 
 
-def validate_huggingface_loading():
-    """Validate that the dataset can be loaded from HuggingFace Hub."""
-
-    print("🔍 UTS2017_Bank Dataset Validation")
-    print("=" * 60)
-    print("VALIDATING HUGGINGFACE HUB LOADING")
-    print("=" * 60)
-
+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:
-            print(f"\n🤗 Loading from Hub - config: {config}")
             dataset = load_dataset("undertheseanlp/UTS2017_Bank", config)
-
-            print("  ✓ Successfully loaded from HuggingFace Hub")
-            print(f"  ✓ Train: {len(dataset['train'])} examples")
-            print(f"  ✓ Test: {len(dataset['test'])} examples")
-
-            sample = dataset["train"][0]
-            print(f"  ✓ Sample keys: {list(sample.keys())}")
-
+            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"  ❌ Failed to load {config} from Hub: {e}")
+            print(f"❌ {config}: {e}")
+            return False
 
-    print("\n" + "=" * 60)
-    print("✅ VALIDATION COMPLETE")
-    print("=" * 60)
-    print("🎉 Dataset can be loaded from HuggingFace Hub!")
-    print("💡 Usage: load_dataset('undertheseanlp/UTS2017_Bank', config_name)")
+    print("\n🎉 All configurations loaded successfully!")
+    print("💡 Usage: load_dataset('undertheseanlp/UTS2017_Bank', '<config>')")
+    return True
 
 
 if __name__ == "__main__":
-    validate_huggingface_loading()
+    main()