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Update src/test_set.py
Browse files- src/test_set.py +9 -2
src/test_set.py
CHANGED
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@@ -68,24 +68,31 @@ def generate_test_set(max_samples_per_pair: int = MAX_TEST_SAMPLES) -> pd.DataFr
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return test_df
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def get_public_test_set() -> pd.DataFrame:
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"""Get public test set (sources only, no targets)."""
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try:
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# Try to load existing test set
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dataset = load_dataset(TEST_SET_DATASET, split='train')
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test_df = dataset.to_pandas()
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print(f"Loaded existing test set with {len(test_df)} samples")
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except Exception as e:
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print(f"Could not load existing test set: {e}")
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print("Generating new test set...")
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# Generate new test set
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test_df = generate_test_set()
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# Save complete test set (with targets) privately
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# Return public version (without targets)
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public_columns = [
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return test_df
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+
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def get_public_test_set() -> pd.DataFrame:
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"""Get public test set (sources only, no targets)."""
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try:
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# Try to load existing test set
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print(f"Loading test set from: {TEST_SET_DATASET}")
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dataset = load_dataset(TEST_SET_DATASET, split='train')
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test_df = dataset.to_pandas()
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print(f"Loaded existing test set with {len(test_df)} samples")
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except Exception as e:
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print(f"Could not load existing test set: {e}")
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print("This is expected for first run. Generating new test set...")
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# Generate new test set
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test_df = generate_test_set()
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# Save complete test set (with targets) privately
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print("Saving test set for future use...")
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try:
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save_complete_test_set(test_df)
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except Exception as save_error:
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print(f"Warning: Could not save test set: {save_error}")
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print("Continuing with generated test set...")
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# Return public version (without targets)
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public_columns = [
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