TenantBench is a decision-derived benchmark for evaluating whether language
models can help self-represented tenants prepare for Australian residential
tenancy disputes from a de-identified lay narrative and a jurisdiction hint.
This repository contains the dataset-only v6.2 release; code, frozen scoring
artifacts, and the retriever checkpoint are distributed separately.
TenantBench separates six capabilities:
D1 — Applicable Law: provisions applied by the tribunal.… See the full description on the dataset page:
https://huggingface.co/datasets/Essie0715/TenantBench.