6 Commits

Author	SHA1	Message	Date
sora	46bef7d3dd	dp4-flash 28-bench alignment: renderer plugin layer, exec_workers, gen_profiles, AIMD pool, BCB/LCB/bfcl/gfc judge fixes ... Co-Authored-By: Claude <noreply@anthropic.com>	2026-09-08 05:55:04 +00:00
sora	bee997423a	GPQA 0.15->0.55: (1) per-bench prompt_style cot_letter (es GPQA CoT template, matches its 'Think step by step' contract), (2) mcq_letter extractor case-insensitive answer-tail (ANSWER: vs answer), (3) deterministic choice shuffle	2026-08-28 18:01:16 +00:00
sora	60b2bfc0dc	GPQA deterministic per-question choice shuffle (es-adapter parity: sha256(question) seed, position-bias protection) — was fixed-A; lb2 subset grouping aligned to es (length field, 60 samples)	2026-08-28 16:24:11 +00:00
sora	da989ea665	Align with local evalscope run.py (full read-through): (1) shuffle+seed42 sample selection identical to es _shuffle_in_place -- same exact sample subset both frameworks; (2) official MATH_PROMPT_TEMPLATE CoT boxed suffix on 7 math benches via DatasetSpec.prompt_suffix; (3) per-bench gen_config (temp/max_tokens from dpv4 yaml) on DatasetSpec, default-merged into gen_kwargs	2026-08-27 11:25:17 +00:00
sora	4a15f80897	Add evaluation layer + visualization: extract/score/aggregate plugins, 28 recipes, official-aligned scorers (PRM800K math, DROP Hungarian EM/F1, SimpleQA A/B/C judge), report artifacts, console renderers, CLI eval/viz, regression tests	2026-08-24 06:09:38 +00:00
sora	f8cd15fea1	EvalHarness data layer: 28 dataset plugins, lazy materialize cache (raw/ + samples.jsonl + meta.json), ModelScope native loader, CLI list/fetch/unload/stats/show	2026-08-24 03:35:11 +00:00