violetxi/single-turn-eval-meta_feedback_qwen3-4b_step2_gpt-5-nano_gepa-n32

Single-turn eval — violetxi/meta_feedback_qwen3-4b_step2_gpt-5-nano_gepa Generated by teaching/inference/single_turn_eval_vllm.py. One row per problem; samples is the list of model responses, scores is per-sample correctness, and mean/best/worst are the aggregates used by mean@N / best@N / worst@N. Eval results (n_samples_per_example = 32) Overall metric value n_examples 1006 mean@32 0.1804 best@32 0.3569 worst@32 0.0398 pass_rate… See the full description on the dataset page: https://huggingface.co/datasets/violetxi/single-turn-eval-meta_feedback_qwen3-4b_step2_gpt-5-nano_gepa-n32.