7 datasets found

Groups: Multimodal Learning Organizations: No Organization

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  • ActivityNet-QA

    Video question answering (VideoQA) is an essential task in vision-language understanding, which has attracted numerous research attention recently. Nevertheless, existing works...

  • MSRVTT-QA

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

  • 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...

  • EgoSchema

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

  • 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...