39 lines
1.4 KiB
Python
39 lines
1.4 KiB
Python
import pickle
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from pathlib import Path
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# Simple check of the latest dataset
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dataset_path = Path("phoneme_segmented_data/ctc_results_20251009_000024.pkl")
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print(f"Checking: {dataset_path}")
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print(f"File exists: {dataset_path.exists()}")
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if dataset_path.exists():
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print(f"File size: {dataset_path.stat().st_size / (1024*1024):.1f} MB")
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try:
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with open(dataset_path, 'rb') as f:
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data = pickle.load(f)
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print(f"Data type: {type(data)}")
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print(f"Keys: {len(data) if isinstance(data, dict) else 'N/A'}")
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# Quick sample
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if isinstance(data, dict):
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sample_keys = list(data.keys())[:3]
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for key in sample_keys:
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if 'trial_' in str(key):
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trial = data[key]
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if 'alignment_info' in trial:
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print(f"Trial {key}: {len(trial['alignment_info'])} segments")
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# Check first few segments for temporal ordering
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for i, (phoneme, start, end, conf) in enumerate(trial['alignment_info'][:3]):
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status = "OK" if end >= start else "BUG"
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print(f" {phoneme}: {start}-{end} [{status}]")
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break
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print("✅ Dataset loaded successfully")
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except Exception as e:
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print(f"❌ Error: {e}")
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else:
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print("❌ Dataset file not found") |