Dataset · Hugging Face

upiter/LangHack

Name: LangHack
Creator: upiter
License: mit
Keywords: task_categories:text-generation, license:mit, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2312.07540, region:us, nethack, interactive decision-making, llm agents, imitation learning

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… See the full description on the dataset page: https://huggingface.co/datasets/upiter/LangHack.

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Author / organization	upiter
License (as declared)	mit
Downloads	302 (as reported by Hugging Face)
Likes	1
Created	19 July 2024
Last updated at source	22 July 2024

nethackinteractive decision-makingllm agentsimitation learningbehavioral cloning

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