13 datasets found

Groups: Video Question Answering Formats: JSON

Filter Results

  • TVQA

    TVQA is a video question answering dataset collected from 6 long-running TV shows from 3 genres. There are 21,793 video clips in total for QA collection, accompanied with...

  • Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sam...

    Reasoning about causal and temporal event relations in videos is a new destination of Video Question Answering (VideoQA). The major stumbling block to achieve this purpose is...

  • MSRVTT-QA

    Video question answering (VideoQA) requires systems to understand the visual information and infer an answer for a natural language question from it.

  • Slot-VLM: SlowFast Slots for Video-Language Modeling

    Video-Language Models (VLMs), powered by the advancements in Large Language Models (LLMs), are charting new frontiers in video understanding. A pivotal challenge is the...

  • Youtube2Text-QA

    Video question answering task, which requires machines to answer questions about videos in a natural language form.

  • MSVD-QA

    The MSVD-QA dataset is a benchmark for video question answering, containing 1,970 videos with multiple-choice questions.

  • TGIF-QA

    The TGIF-QA dataset consists of 165165 QA pairs chosen from 71741 animated GIFs. To evaluate the spatiotemporal reasoning ability at the video level, TGIF-QA dataset designs...

  • Zero-shot video question answering via frozen bidirectional language models

    Zero-shot video question answering via frozen bidirectional language models.

  • ORBIT

    The ORBIT dataset is a collection of videos recorded on cell phones by people who are blind or low-vision. The dataset consists of 3,822 videos with 486 object categories...

  • EgoSchema

    EgoSchema is a diagnostic benchmark for assessing very long-form video-language understanding capabilities of modern multimodal systems.

  • Next-QA

    A video question answering dataset that focuses on visually grounded video question answering.

  • MSVD

    Text-Video Retrieval (TVR) aims to align relevant video content with natural language queries. To date, most state-of-the-art TVR methods learn image-to-video transfer learning...

  • MSR-VTT

    The dataset used in the paper is MSR-VTT, a large video description dataset for bridging video and language. The dataset contains 10k video clips with length varying from 10 to...