load_dataset.py

#!/usr/bin/env python3
"""
Script to load and verify the matrix_operations dataset
"""

import json
from pathlib import Path

def load_and_verify_dataset():
    dataset_path = Path(".")
    
    print(f"Loading {config.name} dataset...")
    
    # Load train split
    train_data = []
    if (dataset_path / "train.jsonl").exists():
        with open(dataset_path / "train.jsonl", "r") as f:
            for line in f:
                train_data.append(json.loads(line))
        print(f"Loaded {len(train_data)} train samples")
    
    # Load test split
    test_data = []
    if (dataset_path / "test.jsonl").exists():
        with open(dataset_path / "test.jsonl", "r") as f:
            for line in f:
                test_data.append(json.loads(line))
        print(f"Loaded {len(test_data)} test samples")
    
    # Basic validation
    print("\nDataset Validation:")
    print(f"Total samples: {len(train_data) + len(test_data)}")
    
    if train_data:
        sample = train_data[0]
        print(f"Sample keys: {list(sample.keys())}")
        print(f"Matrix size: {sample.get('matrix_size')}")
        print(f"Operations count: {len(sample.get('operations', []))}")
    
    print("\nDataset ready for use!")
    print("To upload to Hugging Face Hub:")
    print(f"  git push https://huggingface.co/datasets/your-username/{config.name}")

if __name__ == "__main__":
    load_and_verify_dataset()