README.md

metadata

license: cc-by-4.0
task_categories:
  - question-answering
language:
  - en
tags:
  - lance
  - video
  - benchmark
formats:
  - lance
libraries:
  - datasets
  - lance
size_categories:
  - 1K<n<10K

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 per video_id and inline video_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 metadata lance-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())