  Human intelligence's adaptability is remarkable, allowing us to adjust to new
tasks and multi-modal environments swiftly. This skill is evident from a young
age as we acquire new abilities and solve problems by imitating others or
following natural language instructions. The research community is actively
pursuing the development of interactive "embodied agents" that can engage in
natural conversations with humans and assist them with real-world tasks. These
agents must possess the ability to promptly request feedback in case
communication breaks down or instructions are unclear. Additionally, they must
demonstrate proficiency in learning new vocabulary specific to a given domain.
  In this paper, we made the following contributions: (1) a crowd-sourcing tool
for collecting grounded language instructions; (2) the largest dataset of
grounded language instructions; and (3) several state-of-the-art baselines.
These contributions are suitable as a foundation for further research.
