[
  {
    "id": "0",
    "doc_id": [
      "TinyBench/videommmu_paper.pdf"
    ],
    "file_type": "paper pdf",
    "question": "What are novelties of Video-MMMU dataset",
    "question_type": "summary",
    "evidence_type": "text",
    "answer": "1) Knowledge-Intensive Video Collection: The dataset includes 300 expert-level videos across 6 professional disciplines, covering 30 subjects. 2) Knowledge Acquisition-Based QA Design: Each video contains three QA pairs corresponding to the stages of knowledge acquisition—Perception (extracting key information), Comprehension (grasping concepts), and Adaptation (applying knowledge to new contexts). 3) Quantitative Knowledge Assessment: they introduce a delta knowledge metric to measure performance gains on practice exam questions after watching the videos, enabling quantitative evaluation of LMMs' ability to learn and apply new knowledge.",
    "content_domain": "Academic paper",
    "Comment": ""
  },
  {
    "id": "1",
    "doc_id": [
      "TinyBench/videommmu_paper.pdf"
    ],
    "file_type": "paper pdf",
    "question": "How QA pairs are categorized in Video-MMMU?",
    "question_type": "summary",
    "evidence_type": "text",
    "answer": "Perception Questions assess the ability to extract information from videos via: 1) Optical Character Recognition (OCR) and 2) Automatic Speech Recognition (ASR). Comprehension Questions evaluate understanding through: 1) Concept Comprehension (CC) and 2) Problem-Solving Strategy Comprehension (PSC). Adaptation Questions test the ability to apply knowledge to new scenarios via: 1) Case Study Analysis (CSA) and 2) Problem-Solving Strategy Adaptation (PSA).",
    "content_domain": "Academic paper",
    "Comment": ""
  }
]