| | """Test suite for loading shlokn/autogkb dataset from Hugging Face.""" |
| |
|
| | import pytest |
| | from datasets import load_dataset |
| |
|
| |
|
| | def test_dataset_loads_successfully(): |
| | """Test that the dataset loads without errors.""" |
| | try: |
| | dataset = load_dataset("shlokn/autogkb") |
| | assert dataset is not None |
| | print(f"✓ Dataset loaded successfully") |
| | print(f"✓ Splits: {list(dataset.keys())}") |
| | print(f"✓ Total examples: {sum(len(split) for split in dataset.values())}") |
| | except Exception as e: |
| | pytest.fail(f"Failed to load dataset from Hugging Face: {e}") |
| |
|
| |
|
| | def test_dataset_splits_exist(): |
| | """Test that expected splits are present.""" |
| | dataset = load_dataset("shlokn/autogkb") |
| | expected_splits = {'train', 'validation', 'test'} |
| | actual_splits = set(dataset.keys()) |
| | assert expected_splits.issubset(actual_splits), f"Missing expected splits. Got: {actual_splits}" |
| |
|
| |
|
| | def test_dataset_not_empty(): |
| | """Test that each split contains data.""" |
| | dataset = load_dataset("shlokn/autogkb") |
| | for split_name, split_data in dataset.items(): |
| | assert len(split_data) > 0, f"Split '{split_name}' is empty" |
| |
|
| |
|
| | if __name__ == "__main__": |
| | |
| | try: |
| | dataset = load_dataset("shlokn/autogkb") |
| | print(f"✓ Dataset loaded successfully") |
| | print(f"✓ Splits: {list(dataset.keys())}") |
| | print(f"✓ Total examples: {sum(len(split) for split in dataset.values())}") |
| | print("\n✓ Basic dataset loading test passed!") |
| | print("Run 'pytest test_hf_dataset.py -v' for comprehensive tests.") |
| | except Exception as e: |
| | print(f"✗ Failed to load dataset: {e}") |
| | exit(1) |