Datasets:
| """Load drawing-level FORGE and flatten only QA metadata.""" | |
| from datasets import load_dataset | |
| ds = load_dataset("herbwood27/FORGE") | |
| drawing = ds["train"][0] | |
| image = drawing["image"] | |
| qa = drawing["qas"][0] | |
| print(drawing["drawing_id"], image.size, qa["question"], qa["answer"]) | |
| def iter_qa(split): | |
| for row in ds[split].remove_columns("image"): | |
| for qa in row["qas"]: | |
| yield {"drawing_id": row["drawing_id"], "split": split, **qa} | |
| assert all(q["answer"] is None for row in ds["test"].remove_columns("image") for q in row["qas"]) | |