examples/loading.py

"""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"])