iskhare/ncm-winrate-seed42

Win-rate dataset: ncm vs baselines One row per LLM-judge judgment (pairs were judged in BOTH A/B orderings to debias position, so each (prompt, anchor-vs-baseline) pair appears twice). rows: 1800 (9 baselines x 100 prompts x 2 orderings) judge(s): gemini:gemini-2.5-pro baselines: bd3-l4, bd3-l8, gidd-base, gidd-small, mdlm-medium, mdlm-small, medium-gpt2, sedd, small-gpt2 ncm_wins == "yes" count: 380 (21.1%); ties: 241 Schema column type description… See the full description on the dataset page: https://huggingface.co/datasets/iskhare/ncm-winrate-seed42.