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eca55dc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | import h5py
import pandas as pd
import os
data_dir = "data/AudioSet"
h5_path = os.path.join(data_dir, "balanced_train_soxrhq.h5")
csv_path = os.path.join(data_dir, "silent_files_balanced_train_soxrhq.csv")
print(f"Inspecting {h5_path}...")
try:
with h5py.File(h5_path, "r") as f:
print("Keys:", list(f.keys()))
# Inspect the first few items if it's a group or dataset
for key in list(f.keys())[:5]:
item = f[key]
if isinstance(item, h5py.Dataset):
print(f"Dataset {key}: shape={item.shape}, dtype={item.dtype}")
elif isinstance(item, h5py.Group):
print(f"Group {key}: keys={list(item.keys())}")
# Go one level deeper
for subkey in list(item.keys())[:3]:
subitem = item[subkey]
if isinstance(subitem, h5py.Dataset):
print(
f" Dataset {subkey}: shape={subitem.shape}, dtype={subitem.dtype}"
)
except Exception as e:
print(f"Error reading HDF5: {e}")
print(f"\nInspecting {csv_path}...")
try:
df = pd.read_csv(csv_path)
print(df.head())
print(df.columns)
except Exception as e:
print(f"Error reading CSV: {e}")
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