LangHack

LangHack is a dataset of diff history demonstration data for the rogue-like video game NetHack generated using the symbolic AutoAscend bot, which boasts state-of-the-art performance in the game (as of 07/22/2024).

This dataset was created by sub-sampling 10,000 full NetHack games played by AutoAscend into contiguous "chunks" of 64 timesteps, and converting the agent's game state observations in natural language text using the NetHack Language Wrapper. Sub-sampling was performed uniformly at random over all recorded game data.

LangHack prompts correspond to a full game state observation at one timestep of AutoAscend gameplay, while completions correspond to a interleaved set of the subsequent bot actions and their resultant text deltas in the world state.

A detailed report of NetHack agent performance achieved by finetuning a tiny LLM (GPT2-127M) on LangHack is provided here.