soy cooked

actual_test.py

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+import os
+base_path = "asl_kaggle"
+
+# Check if train.csv exists
+print(f"train.csv exists: {os.path.exists(os.path.join(base_path, 'train.csv'))}")
+
+# Check first few rows
+import pandas as pd
+train_df = pd.read_csv(os.path.join(base_path, "train.csv"))
+print("\nFirst few rows:")
+print(train_df.head())
+
+# Check if parquet files exist
+sample_path = os.path.join(base_path, train_df.iloc[0]['path'])
+print(f"\nFirst parquet file exists: {os.path.exists(sample_path)}")
+print(f"Full path: {sample_path}")# Test extraction on one file
+test_path = os.path.join(base_path, train_df.iloc[0]['path'])
+print(f"Testing: {test_path}")
+
+df = pd.read_parquet(test_path)
+print(f"\nDataFrame shape: {df.shape}")
+print(f"Columns: {df.columns.tolist()}")
+print(f"Types present: {df['type'].unique()}")
+print(f"Frames: {len(df['frame'].unique())}")
+print(f"\nFirst few rows:")
+print(df.head(10))