QuAnTS: Question Answering on Time Series

Name: QuAnTS: Question Answering on Time Series
Uploaded: 2026-10-15T09:48:29.186223+00:00
Duration: 280 s
Description: The authors created QuAnTS, a novel dataset for Question Answering on Time Series data using human motion in tracked skeleton trajectories. This aims to bridge the gap between complex numerical time series and intuitive text interaction by posing diverse questions about human actions. The large-scale dataset encourages future research into interacting with time series models through text.

The authors created QuAnTS, a novel dataset for Question Answering on Time Series data using human motion in tracked skeleton trajectories. This aims to bridge the gap between complex numerical time series and intuitive text interaction by posing diverse questions about human actions. The large-scale dataset encourages future research into interacting with time series models through text.

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