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DialogLLMScenic

Code for the paper Dialogue-based generation of self-driving simulation scenarios using Large Language Models

Instructions

  • Install Scenic from the repository
  • Install numpy openai backoff tiktoken langchain from pip
  • Run scenario_generation/notebook_generate_multistep_with_sim_eval.ipynb

License

BSD 3-Clause (see LICENSE). Note: this repository contains data created from processing the examples in the Scenic repository, the Scenic authors retain all the rights to this data. The data augmentations in scenario_generation/curated_50_50_split_augmented/ have been created with the OpenAI GPT-3 model (text-davinci-003) and they are therefore subject to the OpenAI Terms and policies. These augmentations are not necessary to run the experiments.

Cite as

@misc{micelibarone2023dialoguebased,
      title={Dialogue-based generation of self-driving simulation scenarios using Large Language Models}, 
      author={Antonio Valerio Miceli-Barone and Alex Lascarides and Craig Innes},
      year={2023},
      eprint={2310.17372},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}