| [ |
| { |
| "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": "" |
| } |
| ] |
