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SHOT7M2 is a synthetic, hierarchical, compositional basketball behavior dataset with 7.2 million frames that demonstrate hierarchical organization of basketball actions. Based on the animation model of Starke et al., it uses neural state machines to predict future character poses. The dataset contains 4,000 clips, each with 1,800 frames, performed by a single agent executing various basketball motions. Each clip is labeled with one of four activity types: casual play, intense play, dribbling training, or no play. It provides 26‑keypoint skeletal poses and combinations of 4 activity types, 12 actions, and 14 basic motions.

Woven Traffic Safety (WTS) is provided by Woven by Toyota, Inc. to highlight detailed vehicle and pedestrian behaviors in various simulated traffic events, including accidents. The dataset contains over 1.2 k video events across more than 130 traffic scenarios, combining vehicle‑ego and fixed‑camera views. Each event includes a comprehensive textual description of observed behaviors and context. Additionally, about 4.8 k pedestrian‑related traffic videos from BDD100K are supplied with detailed textual annotations for external training and testing.