Datasets:
File size: 2,963 Bytes
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#!/usr/bin/env python3
import json
import os
from pathlib import Path
from datasets import Dataset, Audio
def test_final_structure():
"""Test the final dataset structure for HF compatibility"""
print("Testing final dataset structure...")
print("=" * 50)
# Check for required files
files_to_check = [
"metadata.jsonl",
"audio/xin_chao.mp3",
"audio/cam_on.mp3",
"audio/viet_nam.mp3"
]
print("1. Checking file structure:")
for file_path in files_to_check:
if os.path.exists(file_path):
print(f" ✓ {file_path}")
else:
print(f" ✗ {file_path} - MISSING")
return False
# Load and validate metadata
print("\n2. Loading metadata.jsonl:")
try:
records = []
with open("metadata.jsonl", "r", encoding="utf-8") as f:
for line_num, line in enumerate(f, 1):
try:
record = json.loads(line)
records.append(record)
except json.JSONDecodeError as e:
print(f" ✗ Line {line_num}: Invalid JSON - {e}")
return False
print(f" ✓ Loaded {len(records)} records")
# Validate required fields
required_fields = ["file_name", "word", "ipa"]
for i, record in enumerate(records[:3], 1):
missing_fields = [field for field in required_fields if field not in record]
if missing_fields:
print(f" ✗ Record {i} missing fields: {missing_fields}")
return False
print(f" ✓ All records have required fields: {required_fields}")
except Exception as e:
print(f" ✗ Error loading metadata: {e}")
return False
# Test with datasets library
print("\n3. Testing with datasets library:")
try:
dataset = Dataset.from_list(records)
dataset = dataset.cast_column("file_name", Audio(decode=False))
print(f" ✓ Dataset created successfully")
print(f" ✓ Features: {dataset.features}")
print(f" ✓ Number of examples: {len(dataset)}")
# Test first example
first_example = dataset[0]
print(f" ✓ First example loaded: {first_example['word']} ({first_example['ipa']})")
except Exception as e:
print(f" ✗ Error with datasets library: {e}")
return False
print("\n4. Summary:")
print(" ✓ Files in root directory")
print(" ✓ metadata.jsonl with file_name column")
print(" ✓ Audio files in audio/ subdirectory")
print(" ✓ Compatible with datasets library")
print(" ✓ Ready for Hugging Face Dataset Viewer")
return True
if __name__ == "__main__":
success = test_final_structure()
if success:
print("\n🎉 Dataset structure is correct and ready for upload!")
else:
print("\n❌ Dataset structure needs fixes") |