Update README.md

README.md

@@ -352,9 +352,10 @@ An aggregation of human motion understanding research.
 <span id="datasets"></span>
 ## Datasets & Benchmarks
 
+- [Motion-X++](https://arxiv.org/pdf/2501.05098). Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion Dataset, Zhang et al. ArXiv 2025.
 - [Mimicking-Bench](https://mimicking-bench.github.io/). Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking, Liu et al. ArXiv 2024. 
 - [SCENIC](https://virtualhumans.mpi-inf.mpg.de/scenic/). SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control, Zhang et al. ArXiv 2024.
-- [CMP & CMR](https://github.com/fyyakaxyy/AnimationGPT). AnimationGPT:An AIGC tool for generating game combat motion assets, Liao et al. 
+- [CMP & CMR](https://github.com/fyyakaxyy/AnimationGPT). AnimationGPT: An AIGC tool for generating game combat motion assets, Liao et al. 
 - [LINGO](https://lingomotions.com/). Autonomous Character-Scene Interaction Synthesis from Text Instruction, Jiang et al. SIGGRAPH Asia 2024.
 - [LaserHuman](https://github.com/4DVLab/LaserHuman). LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment, Cong et al. ArXiv 2024.
 - [AtoM](https://atom-motion.github.io/). AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward, Han et al. ArXiv 2024.