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() # Filter valid images and restructure 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']) # Create HuggingFace dataset 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() # Uncomment to push to hub: # processor.save_to_hub(dataset, "your-username/stalker-dataset")