| from datasets import Dataset, DatasetDict | |
| def load_dataset(): | |
| data = { | |
| "train": { | |
| "input_image": ["input_image/image1.jpeg"], | |
| "conditioning_image": ["conditioning_image/image1.jpeg"], | |
| "image_caption": ["Example caption"], | |
| }, | |
| # Add more samples here | |
| } | |
| dataset_dict = DatasetDict({split: Dataset.from_dict(samples) for split, samples in data.items()}) | |
| return dataset_dict | |