Reasoning-trajectory corpora for studying whether heterogeneous (HET) multi-model
SFT data improves post-RL out-of-distribution generalization on OMEGA math vs
homogeneous (HOM) single-model data, under matched controls.
HOM: trajectories generated by a single model (Qwen3-4B).
HET: trajectories composed via true token-level continuation across a roster of
7 reasoning models (each model resumes the previous model's own assistant turn… See the full description on the dataset page:
https://huggingface.co/datasets/shizhuo2/omega-het-sft-rl.
