Omkar2118/datasets huggingface dataset:
SILG
Full name: Symbolic Interactive Language Grounding

**Symbolic Interactive Language Grounding** (**SILG**) is a multi-environment benchmark which unifies a collection of diverse grounded language learning environments under a common interface. SILG consists of grid-world environments that require generalization to new dynamics, entities, and partially observed worlds (RTFM, Messenger, NetHack), as well as symbolic counterparts of visual worlds that require interpreting rich natural language with respect to complex scenes (ALFWorld, Touchdown). Together, these environments provide diverse grounding challenges in richness of observation space, action space, language specification, and plan complexity.

Introducing paper: SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark