Sign inGet started
Dataset · Hugging Face

ise-ice-lab/PSI_VQA

PSI-VQA — AI City Challenge 2026, Track 3 PSI-VQA is a video question-answering benchmark built on the PSI 2.0 dataset, covering egocentric dashcam footage of pedestrian crossing scenarios. It is the OOD Test Set 2 for AI City Challenge 2026, Track 3: Driver Situation Awareness. The dataset spans four complementary tasks, all unified under the tao-vl-reason-v1.0 schema (NVIDIA TAR Benchmark format). Each item pairs a short video clip with a question; the model must return a… See the full description on the dataset page: https://huggingface.co/datasets/ise-ice-lab/PSI_VQA.

Author / organizationise-ice-lab
License (as declared)other
Downloads466 (as reported by Hugging Face)
Likes0
Created28 May 2026
Last updated at source31 August 2026
pedestrian-intentdrivingdashcamtraffic-safetytemporal-localizationai-city-challenge
Embed this entry
<iframe src="https://silytics.si/embed/item/6f77e44f-aa79-4eaa-890c-a126591b2fdb" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

466 now (-14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.