| from datasets import Dataset |
| from pathlib import Path |
| import json |
| import logging |
| from typing import Dict, List |
| import requests |
| from PIL import Image |
| from io import BytesIO |
|
|
| logging.basicConfig(level=logging.INFO) |
| logger = logging.getLogger(__name__) |
|
|
| class DatasetProcessor: |
| def __init__(self, raw_data_path: str = 'dataset/raw_data.json'): |
| self.raw_data_path = Path(raw_data_path) |
| |
| def load_raw_data(self) -> List[Dict]: |
| """Load scraped data from JSON""" |
| with open(self.raw_data_path) as f: |
| return json.load(f) |
| |
| def validate_image(self, url: str) -> bool: |
| """Check if image URL is valid and image can be loaded""" |
| try: |
| response = requests.get(url) |
| img = Image.open(BytesIO(response.content)) |
| return True |
| except: |
| return False |
| |
| def process_data(self) -> Dataset: |
| """Process raw data into HuggingFace dataset""" |
| raw_data = self.load_raw_data() |
| |
| |
| processed_data = { |
| 'image_url': [], |
| 'category': [], |
| 'metadata': [] |
| } |
| |
| for entry in raw_data: |
| if self.validate_image(entry['image_url']): |
| processed_data['image_url'].append(entry['image_url']) |
| processed_data['category'].append(entry['category']) |
| processed_data['metadata'].append(entry['metadata']) |
| |
| |
| dataset = Dataset.from_dict(processed_data) |
| logger.info(f"Created dataset with {len(dataset)} entries") |
| |
| return dataset |
| |
| def save_to_hub(self, dataset: Dataset, repo_id: str): |
| """Push dataset to HuggingFace Hub""" |
| dataset.push_to_hub(repo_id) |
| logger.info(f"Pushed dataset to {repo_id}") |
|
|
| if __name__ == "__main__": |
| processor = DatasetProcessor() |
| dataset = processor.process_data() |
| |
| |
|
|
