| Let's load the first 200 examples from the validation split and explore the dataset's features: | |
| thon | |
| from datasets import load_dataset | |
| dataset = load_dataset("Graphcore/vqa", split="validation[:200]") | |
| dataset | |
| Dataset({ | |
| features: ['question', 'question_type', 'question_id', 'image_id', 'answer_type', 'label'], | |
| num_rows: 200 | |
| }) | |
| Let's take a look at an example to understand the dataset's features: | |
| dataset[0] | |
| {'question': 'Where is he looking? |