MAGAR-Bench / scripts /load_dataset.py
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"""Load MAGAR-Bench and resolve repository-relative image paths.
Run this file from the root of a cloned Hugging Face dataset repository.
"""
from pathlib import Path
from datasets import load_dataset
def load_magar_bench(repo_root: str | Path = "."):
root = Path(repo_root)
dataset = load_dataset(
"json",
data_files={
"train": str(root / "data" / "train.jsonl"),
"test_inputs": str(root / "data" / "test_inputs.jsonl"),
},
)
def resolve_images(record):
record["images"] = [str(root / image_path) for image_path in record["images"]]
return record
return dataset.map(resolve_images)
if __name__ == "__main__":
loaded = load_magar_bench()
print(loaded)