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MINERVA for lmms-eval
This dataset package is prepared for lmms-eval integration of MINERVA.
Contents
minerva.json: original annotation metadata.data/train.lance: Lance table with one row pervideo_idand inlinevideo_blob.
Lance schema
video_id: YouTube video ID.youtube_url: YouTube URL reconstructed from ID.video_ext: local downloaded file extension.video_size_bytes: raw file size.video_blob: large binary blob with metadatalance-encoding:blob=true.
Loading examples
import lance
ds = lance.dataset("hf://datasets/lmms-lab-eval/minerva/data/train.lance")
row = ds.scanner(columns=["video_id"], limit=1).to_table().to_pylist()[0]
blob = ds.take_blobs("video_blob", ids=[0])[0]
with open("sample.mp4", "wb") as f:
f.write(blob.read())
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