This website requires JavaScript.
Explore
Help
Register
Sign In
Meta-Eval
/
EvalHarness
Watch
3
Star
0
Fork
0
You've already forked EvalHarness
Code
Issues
Pull Requests
Actions
Packages
Projects
Releases
Wiki
Activity
EvalHarness
/
evalharness
/
data
History
sora
7114564301
Multi-endpoint model pool (openai-pool/{lo..hi} round-robin with failover), nothink/textools spec flags (chat_template_kwargs enable_thinking=false; text-protocol tool calls for backends without --enable-auto-tool-choice), global cross-bench queue in ladder runs
2026-08-26 06:26:52 +00:00
..
datasets
Multi-endpoint model pool (openai-pool/{lo..hi} round-robin with failover), nothink/textools spec flags (chat_template_kwargs enable_thinking=false; text-protocol tool calls for backends without --enable-auto-tool-choice), global cross-bench queue in ladder runs
2026-08-26 06:26:52 +00:00
__init__.py
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
dataset.py
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
loader.py
Simplify install: light deps (datasets/pyarrow/sympy/pylatexenc/numpy/scipy) are DEFAULT; single [bfcl] extra for the heavy official checker
2026-08-25 02:51:55 +00:00
registry.py
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
sample.py
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
spec.py
Paper-faithful eval: P1 logprob scoring (completions_echo + chat_first_token fallback, sglang top_logprobs parser), few_shot_num dataset defaults (mmlu5/cmmlu5/mmlu_pro5/gsm8k4/math4/drop3), official BBH 3-shot CoT vendored, strict_letter default prompt (evalscope parity), official simpleqa grader prompt
2026-08-25 02:21:59 +00:00