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nnc-001/gtasa-01

GTASA-01: Multi-Actor Video Corpus with Perfect Spatiotemporal Annotations GTASA-01 is the corpus of the GTASA paper GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models (ACCV 2026), generated with the GEST-Engine described in the accompanying technical report. The repository contains 1,008 procedurally generated multi-actor stories produced by the GEST-Engine, each accompanied by a Graph of Events in Space and Time (GEST)… See the full description on the dataset page: https://huggingface.co/datasets/nnc-001/gtasa-01.

Author / organizationnnc-001
License (as declared)cc-by-nc-4.0
Downloads1.7K (as reported by Hugging Face)
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Created10 April 2026
Last updated at source30 September 2026
videosyntheticmulti-actorspatiotemporalscene-graphaction-recognitionworld-modelsgest
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