Yunnnuy/factuality-rmbench-style

Factuality RM-Bench Style Factuality RM-Bench Style is a controlled English dataset for studying whether reward models and representation probes prefer stylistic presentation over factual correctness. Each row contains one question, a localized correct and incorrect proposition, and six responses formed by crossing correctness with three presentation styles: concise, normal, and Markdown. This repository is an export package for factuality_rmbench_style_v6. The published data… See the full description on the dataset page: https://huggingface.co/datasets/Yunnnuy/factuality-rmbench-style.