Auto43%Harbor: pendingMultimodal

MSVD-QA

The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset.

How to run

ltb · msvd-qa
$ npm i -g lettokenburn-cli
$ ltb bench info msvd-qa

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

1 sourced entry
HarnessSourceConfidenceLink
LLaVA-Mini70.9N/AIndependentmediumJan 7, 2025arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

The MSVD-QA dataset is a Video Question Answering (VideoQA) dataset. It is based on the existing Microsoft Research Video Description (MSVD) dataset, which consists of about 120K sentences describing more than 2,000 video snippets. In the MSVD-QA dataset, Question-Answer (QA) pairs are generated from these descriptions. The dataset is mainly used in video captioning experiments but due to its large data size, it is also used for VideoQA. It contains 1970 video clips and approximately 50.5K QA pairs.