This repository hosts the data accompanying the ACL 2026 paper "Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment".
In this work, we investigate data–student suitability in reasoning distillation and introduce Rank-Surprisal Ratio (RSR), a simple yet effective metric for identifying suitable reasoning trajectories for a given student.
RSR is defined as the ratio of a trajectory’s average token-wise rank to its… See the full description on the dataset page:
https://huggingface.co/datasets/Umean/RSR_data.
