feat(accuracy): MATH-500 lighteval-backed benchmark (AIP-879)#927
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…ow-up) Switches MATH-500 to lighteval-aligned grading per the trt-llm benchmark recipe's acc_bench_lighteval.py:math_500. Loader emits the bare problem text as the user message; ground_truth is the full solution (containing the boxed answer); LightevalLatexGrader extracts the boxed expression at grade time. Per-row `subject` becomes the task name so the accuracy CSV breaks down by MATH subject. plugins.yaml: `math_500.default_grader`: math → lighteval_latex generation_size: 32768. Reference: trt-llm-benchmark-recipe/src/accuracy/acc_bench_lighteval.py:156 Signed-off-by: Elias Bermudez <dbermudez@nvidia.com>
Try out this PRQuick install: pip install --upgrade --force-reinstall git+https://github.com/ai-dynamo/aiperf.git@c2ac1d4697137da720a6a4c9dba690767a0e39e7Recommended with virtual environment (using uv): uv venv --python 3.12 && source .venv/bin/activate
uv pip install --upgrade --force-reinstall git+https://github.com/ai-dynamo/aiperf.git@c2ac1d4697137da720a6a4c9dba690767a0e39e7Last updated for commit: |
This was referenced May 12, 2026
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Stack dependencyThis PR is part of an 8-PR stack aligning aiperf's accuracy benchmarks with Merge order:
This PR: position 6 of 8 — base branch is After each upstream PR merges, the downstream PR's branch will be rebased |
This was referenced May 12, 2026
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math_500benchmark inplugins.yaml(default_grader: math,default_n_shots: 0); scaffold loader raisesNotImplementedErroruntil the full lighteval-backed implementation lands.\frac{1}{3},\sqrt{2}).LightevalLatexGrader(lighteval_latex,latex_gold_metric,LatexExtractionConfigon the gold side) introduced in AIP-874.Reference:
trt-llm-benchmark-recipe/src/accuracy/acc_bench_lighteval.py(math_500task)