Releases: scitix/sieval
Releases · scitix/sieval
Release list
v0.6.0
First feature release since the initial public release (v0.5.0).
Added
- New benchmark tasks & datasets:
- GSM8K — 8-shot base-model task (#1) and DeepSeek-Math-aligned 0-shot chat-model task (#29).
- TheoremQA — k-shot base-model task (#3).
- HumanEval — 0-shot base-model task (#6).
- CMMLU — few-shot base-model task (#10).
- MBPP — few-shot base-model task (#12).
- IFBench — few-shot base-model task (#13).
- LiveCodeBench — few-shot base-model code-generation task (#14).
- OpenBookQA — k-shot generative task (#19).
- AIME 2026 and HMMT Feb 2026 — MathArena-aligned (#16); HMMT Feb 2025 and IMO-AnswerBench (#22).
- CLP — eval mode and naming category (#23).
SglangGenModel— echoed-input logprobs via the SGLang/generateendpoint (#21).stratified_sampledataset op (#7).- Dataset source integrity: pinned HF revisions and checksummed URL datasets, enforced in preflight (#8).
--resumenow tolerates throughput-only (scheduling) config diffs (#4).- GitHub Actions CI pipeline and import-time dependency hardening (#2).
Fixed
- IMO-AnswerBench: normalize during answer extraction, verbatim grader; promoted to stable (#28).
- Pass the gold answer first to
math_verify.verify(#18, #20). - Dataset integrity check compares on-the-wire bytes so gzipped responses are not falsely flagged (#17).
Changed
- Renamed the
selectdataset op toslice(#7). - Sanitize CI check now detects hardcoded absolute paths and scans only tracked files (#5).
Full Changelog: v0.5.0...v0.6.0
v0.5.0
Initial public release.
Tasks (11)
Mainstream benchmarks registered in sieval/meta/index.json:
- AIME 2024 / 2025 (math competitions)
- DROP (reading comprehension)
- GPQA-Diamond (graduate-level science MCQ)
- HumanEval (Python function synthesis)
- IFEval (instruction following)
- LiveCodeBench code generation (contamination-free coding)
- MATH-500 (advanced math)
- MMLU (multi-domain knowledge MCQ)
- MMLU-Pro (harder MMLU variant)
- T-Eval before-calling (tool-use planning)
CLI
sieval run/sieval eval— run a leaderboard YAML or single-task eval.sieval infer— start / stop / inspect local inference services (vLLM, SGLang).sieval leaderboard report— cross-run model × task score matrix.sieval leaderboard list/run— enumerate and execute leaderboard YAMLs.sieval task list|show/sieval dataset list|show— registry discovery.sieval dataset download— fetch datasets to local cache.
Eval engine
- Async staged execution engine with sharded persistence.
- Multi-task runner for batch evaluation.
- Strict
--resumematching (start-fresh or match-invocation, no force-overwrite). - Bounded retries on failed samples, auto-resume across iterations.
- I/O & stage profiler; iteration / rollout level anomaly detection.
pass@kfor code benchmarks.- Per-result
effective_config.yamlandinfer_plans.yamlfor reproducibility.
Determinism
deterministic: trueYAML flag +--deterministicCLI onsieval run,sieval eval,sieval leaderboard run,sieval infer start.- Pins engine-level batch-invariant kernels (vLLM
VLLM_BATCH_INVARIANT=1, SGLang--enable-deterministic-inference) and injectsseed=0. meta.jsonrecords the deterministic state.
Inference
- Local backends (vLLM, SGLang) with recipe-driven auto-resolve.
- Auto DP, unified resolve, fp8 profiles.
- Recipes: Qwen2.5 / Qwen3 / gpt-oss families with H100 / H200 profiles.
- Graceful shutdown (process-group kill prevents orphan GPU processes); STOPPING phase prevents Ready→NotReady regression during stop.
Leaderboard
- YAML schema supports a top-level
alignment: {card: <path>}block for user-authored TR-aligned reference cards. sieval leaderboard reportauto-annotates cells with(Δ<signed> <glyph>)when a run'seffective_config.yamlcites an alignment card; tolerance + IEEE-754 slack.
Registries
sieval/meta/index.json(schema v1) — task / dataset registry, auto-generated viascripts/sync_meta_index.py.@sieval_task/@sieval_datasetdecorators withTaskMeta/DatasetMetaschemas.- AST-based lazy discovery in
sieval.tasks/sieval.datasets.
Quality
- Layer-boundary import enforcement (pre-commit + preflight).
- Project-wide preflight (
scripts/check_preflight.py): links, deps, tasks, datasets, imports, examples, meta-index sync, version. - Tooling:
ruff,ty,mypy strict,pytest.