LitVISTA is a structurally annotated benchmark designed to evaluate the narrative orchestration capabilities of Large Language Models (LLMs). Unlike traditional benchmarks that focus on causal coherence or local semantics, LitVISTA maps stories into a high-dimensional representational framework called VISTA Space.
It focuses on how narrative events (Verbs+) serve… See the full description on the dataset page:
https://huggingface.co/datasets/VivldArc/VISTA.