Goal Drift Dataset

The Goal Drift Dataset is a collection of triplets (current observation, goal imagination, instruction) from the OpenAI Contractor Gameplay Dataset, used to train the Imaginator.

Data and Resources

Cite this as

Enshen Zhou, Yiran Qin, Zhenfei Yin, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Yu Qiao, Jing Shao (2024). Dataset: Goal Drift Dataset. https://doi.org/10.57702/iuwcayqm

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2403.12037
Author Enshen Zhou
More Authors
Yiran Qin
Zhenfei Yin
Yuzhou Huang
Ruimao Zhang
Lu Sheng
Yu Qiao
Jing Shao