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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}
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