Activitynet-QA Dataset
Created by Yu et al. at 2019, the Activitynet-QA Dataset contains 58,000 human-annotated QA pairs on 5,800 videos derived from the popular ActivityNet dataset. The dataset provides a benckmark for testing the performance of VideoQA models on long-term spatio-temporal., in English language. Containing 58 in JSON file format.
Dataset Sources
Here you can download the Activitynet-QA dataset in JSON format.
Download Activitynet-QA dataset JSON files
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Paper
Read full original Activitynet-QA paper.
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