shizhuo2/omega-het-expandA-sft
OMEGA-HET-expandA — matched HET-vs-HOM SFT (equal-size) Matched supervised-fine-tuning data for the OMEGA diversity experiment: for each math prompt, reasoning trajectories are sampled two ways and only prompts solved (math-verified correct) in both conditions are kept (matched HOM∩HET = 3,219 prompts), so HET and HOM are directly comparable. HET (heterogeneous): true token-level continuation across a 3×32B roster (Qwen3-32B + DeepSeek-R1-Distill-Qwen-32B +… See the full description on the dataset page: https://huggingface.co/datasets/shizhuo2/omega-het-expandA-sft.
OMEGA-HET-expandA — matched HET-vs-HOM SFT (equal-size)
Matched supervised-fine-tuning data for the OMEGA diversity experiment: for each math prompt, reasoning trajectories are sampled two ways and only prompts solved (math-verified correct) in both conditions are kept (matched HOM∩HET = 3,219 prompts), so HET and HOM are directly comparable.
- HET (heterogeneous): true token-level continuation across a 3×32B roster (Qwen3-32B + DeepSeek-R1-Distill-Qwen-32B + OpenReasoning-Nemotron-32B).
- HOM (homogeneous): a single Qwen3-4B.
Built from the verified pool (shizhuo2/omega-het-expandA-verified; 575,699 accepted: HET 416,727 / HOM 158,972).
Diversity levels (each has matched HET & HOM files)
Two budget modes per level:
- `_natural` — count-equalized: HET and HOM have the SAME number of rows (the equal-size set).
- `_token_matched` — total-token-equalized: whole trajectories downsampled from the heavier-token side (never trimming math), so total SFT tokens match across HET/HOM (rows may differ).
Schema (per line)
problem_id, condition, generator_type (HET|HOM), diversity_level, axis, setting_key, messages [user prompt, assistant solution], ground_truth, generator_metadata, verification, strategy, token_count
Raw pre-verify pool: shizhuo2/omega-het-expandA-200k-raw • Verified pool: shizhuo2/omega-het-expandA-verified
