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