| Load and check meta data: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("yizhilll/arxiv_image_cap_mini") | |
| # %% | |
| dataset["train"][0]["caption"] | |
| # %% | |
| dataset["train"][0]["image"] | |
| for split in ["train", "validation", "test"]: | |
| print(dataset[split]) | |
| ``` | |
| Output: | |
| ```shell | |
| Dataset({ | |
| features: ['image', 'caption', 'captionBoundary', 'figType', 'imageText', 'name', 'page', 'regionBoundary', 'referred_text'], | |
| num_rows: 30328 | |
| }) | |
| Dataset({ | |
| features: ['image', 'caption', 'captionBoundary', 'figType', 'imageText', 'name', 'page', 'regionBoundary', 'referred_text'], | |
| num_rows: 3803 | |
| }) | |
| Dataset({ | |
| features: ['image', 'caption', 'captionBoundary', 'figType', 'imageText', 'name', 'page', 'regionBoundary', 'referred_text'], | |
| num_rows: 3776 | |
| }) | |
| ``` |