Nice primer on post-training reasoning data. (bookmark it) This is one of the first primers to pull the scattered post-training reasoning-da…

Nice primer on post-training reasoning data. (bookmark it) This is one of the first primers to pull the scattered post-training reasoning-data literature into one place, synthesizing over 150 public studies and system reports that previously lived across dataset papers, RL recipes, reward-model studies, benchmarks, and frontier reports. It organizes everything around four questions. What data objects exist, what makes them useful, how they are constructed, and how they scale. Paper: https://arxiv.org/abs/2606.02113 Learn to build effective AI agents in our academy: https://academy.dair.ai/

Source: DAIR.AI (X) | 2026-06-03