Sign in to view source links and access this dataset
Description
LongVideo-Reason is a dataset of 52,000 high-quality Question-Reasoning-Answer pairs for long video reasoning, constructed with chain-of-thought annotations. It was created by the LongVideo-Reason organization using a VLM and a reasoning LLM, and was last updated on August 19, 2025. The dataset includes 18,000 high-quality samples designated for a specific subset.
Use Cases
Training multimodal AI models for long video question answering based on the described question-answer pairs.
Benchmarking video-language models on complex reasoning tasks based on the chain-of-thought annotations.
Studying the scaling of reinforcement learning to long sequences as referenced in the dataset's full name.