| import json | |
| from torch.utils.data import Dataset | |
| from PIL import Image | |
| class CustomDataset(Dataset): | |
| def __init__(self, json_path, split): | |
| self.data = self.load_data(json_path, split) | |
| self.split = split | |
| def load_data(self, json_path, split): | |
| with open(json_path, 'r', encoding='utf-8') as f: | |
| data = json.load(f) | |
| return data[split] | |
| def __len__(self): | |
| return len(self.data) | |
| def __getitem__(self, idx): | |
| item = self.data[idx] | |
| image_path = item['image'] | |
| image = Image.open(image_path) | |
| text = item['text'] | |
| return {"image": image, "text": text} | |