101759 Sets - Video QA Dataset

VQA

multi-modal

101759 Sets - Video QA Dataset, which include 10 genres of video and its corresponding QA annotation. The 10 genres are office/education/travel/cooking/product/news/fashion/sports/health/entertainment. Videos are >60s, >=1080p, with audio. QA annotations have multiple question types, like action/action-change/location/location-change/scene/scene-change/attribute/attribute-change, etc. QA annotations are >=5 turns per video, >=10 characters per turn for both question and answer. This dataset can be used for multi-modal understanding tasks, like VQA, etc.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Data content

101,759 video QA sets, each contains one video and its corresponding Q&A annotation file.

Data distribution

①10 video genres: office, education, travel, cooking, product, news, fashion, sports, health, entertainment; ②multiple question types: action, action-change, location, location-change, scene, scene-change, attribute, attribute-change, etc.

Annotation

Q&A turns grounded in the video. Each round includes a question, an answer, a flag indicating whether audio is required, and start/end time-stamps.

Data quality

①video: >60s, >=1080p, with audio; ②annotation: >=5 turns per video, >=10 characters per turn for both question and answer; ③accuracy: >=95% of all Q&A turns are correct.

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101759 Sets - Video QA Dataset

VQA multi-modal

Current Project Maturity

VQA

multi-modal