sora
587274d8b6
sandbox pull: SWE-bench per-instance pre-pull with resume (es port)
...
- naming corrected to the Docker Hub truth es verified 500/500:
swebench/sweb.eval.x86_64.{instance_id.lower(), __->_1776_}:latest
(my repo-base rewrite was wrong; per-instance images ARE published)
- 'evalharness sandbox pull swe_bench_verified': concurrent pulls,
resume state in <cache-dir>/swe_pull_state.json, --dry-run N,
--retry-failed; self-contained (own dataset registry, no evalscope
import)
- save/load intentionally omitted per user call (pull-only for now)
Co-Authored-By: Claude <noreply@anthropic.com>
2026-09-17 09:36:20 +00:00
sora
081249d47c
swe: repo-base image naming (correct indentation this time)
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Co-Authored-By: Claude <noreply@anthropic.com>
2026-09-17 08:33:45 +00:00
sora
63ffd1b613
Fix NameError _fmt (module-level helper restored); aime/hmmt max_tokens 32768->8192 (non-stream path, gateway honors nothink)
...
Co-Authored-By: Claude <noreply@anthropic.com>
2026-09-11 07:20:02 +00:00
sora
27cf8b3c7e
Usability round: progress plugin, CLI provider flags, top-level run(), vendored BFCL checker
...
- progress/: Rich per-sample terminal progress plugin (Run Plan panel,
in-flight/rate/ETA bar); shared console + log-through-live to avoid
interleaved writes, rollback() pairs begin_sample on the retry path,
begin moved inside the semaphore (in-flight = actually generating),
graceful degradation when rich is absent
- cli.py: --provider/--api-url/--model composition (openai-chat |
openai-pool), --disable-thinking/--perf/--textools as first-class
flags, per-bench phase lines and done/failed result lines
- __init__: top-level run()/arun() entries (event-loop safe for notebooks)
- third_party/bfcl: vendored official BFCL ast_checker + type mappings
(Apache-2.0, provenance in __init__.py); imports rerouted locally,
underscore_to_dot parameterized; verified bit-identical with the
bfcl-eval package on 100 real rows -- removes the heavy extra
(pinned numpy + cloud SDK wall) from the install path
- runner: progress/status hooks through generate+evaluate, checkpoint
key scheme fix (empty-store falsy bug), tiered retry backoff,
multi-segment pool {range} expansion fix, adapter-instance passthrough
- pyproject: tree_sitter family joins core deps; [bfcl] extra retired
- README: rewritten (zh) -- install/quickstart/flags reference/bench
table/reliability/extension/architecture/validation
Co-Authored-By: Claude <noreply@anthropic.com>
2026-09-10 05:46:45 +00:00
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
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
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
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
7ce04b8ac6
cmmlu few_shot_num 5->0 (es code default is 0-shot despite docstring claiming 5); 28-bench parity check all green
2026-08-27 06:43:09 +00:00
e11cae038b
Parity pre-flight check (truncation/few-shot/judge/no-think endpoints vs es run.py); bbh few_shot_num=3 fixed (was 0, es/paper default 3-shot CoT)
2026-08-27 06:37:57 +00:00
0e1e31ba10
swe_bench_verified end-to-end verified (oracle patch -> official sweb image -> resolved); image naming mapped to local swebench/ set; ladder2 complete 28/28
2026-08-26 06:40:55 +00:00
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
78459c974e
tau2 via OFFICIAL engine: self-running env plugin (run_task hook + needs_adapter generic dispatch, no name hardcoding), deep generate() patch, official ToolCall shape, data plugin keeps verbatim Task json, official reward scoring; checkpoint plugin (per-sample resume) + summary csv with time/categories
2026-08-25 11:06:08 +00:00
a8d3400ed5
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
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
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
