| from datasets import Dataset | |
| # Create a dictionary for leaderboard data | |
| leaderboard_data = { | |
| "model": ["Model_A", "Model_B", "Model_C", "Model_D"], | |
| "accuracy": [0.92, 0.87, 0.89, 0.95], # Example metric | |
| "inference_time (ms)": [12.3, 15.6, 10.8, 14.2] # Example inference speed | |
| } | |
| # Convert the dictionary into a Hugging Face Dataset | |
| leaderboard = Dataset.from_dict(leaderboard_data) | |
| # Sort the leaderboard by accuracy (descending) | |
| leaderboard = leaderboard.sort("accuracy", reverse=True) | |
| # Print the sorted leaderboard | |
| print(leaderboard) |