L3C provides variant environments facilitating In-Context Learning, featured in the following assets:

• Vast amounts of diversified tasks with minimal inductive bias
• Lifelong In-Context Learning
• Generative and Interactive

• MazeWorld: 2D/3D maze generators for task generalization

• MetaLanguage: Pseudo-language generated from randomized hyper-parameters

• L3C_Baselines: An implementation of the baseline solutions to the above tasks

pip install l3c

Cite this work with

@article{wang2024benchmarking,
  title={Benchmarking General Purpose In-Context Learning},
  author={Wang, Fan and Lin, Chuan and Cao, Yang and Kang, Yu},
  journal={arXiv preprint arXiv:2405.17234},
  year={2024}
}