TacSIm: A Dataset and Benchmark for Football Tactical Style Imitation
Dataset Description
TacSIm is a multi-agent football trajectory dataset designed for research on tactical style imitation, multi-agent imitation learning, trajectory generation, and long-horizon football simulation.
The dataset is organized into three predefined splits:
Train
Validation
Test
These splits should be preserved when training and evaluating models so that reported results remain… See the full description on the dataset page: https://huggingface.co/datasets/wangqiurui/TacSIm.
