UIAIC/EduViQA

EduVQA-Alpha是一个多语言教育数据集，旨在为视频问答任务提供支持。该数据集包含英文和波斯语的学术视频，并配有合成的问答对。视频内容涵盖多种学术主题和不同的教学风格，适用于多语言检索增强生成任务。数据集利用CLIP-SSIM自适应分段技术进行视频分段，确保了多模态AI系统的高质量语义对齐。该数据集适合推动学术界和工业界视频问答流程的发展。

EduVQA-Alpha is a multilingual educational dataset designed for video question-answering (VideoQA). It consists of academic videos annotated with synthetic question-answer (QA) pairs in English and Persian. The videos cover a variety of academic topics and teaching styles, supporting multilingual Retrieval-Augmented Generation (RAG) tasks. The dataset uses CLIP-SSIM Adaptive Chunking for video segmentation, ensuring high-quality semantic alignment for multimodal AI systems. EduVQA-Alpha is suitable for advancing VideoQA pipelines in both academia and industry.