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@rootfs rootfs commented Sep 12, 2025

What type of PR is this?

The router_reason_bench.py is based on MMLU-Pro. Need coverage of other datasets to fully eval the differences between the router vs direct vLLM calls.

What this PR does / why we need it:

Which issue(s) this PR fixes:

Fixes #

Release Notes: Yes/No

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github-actions bot commented Sep 12, 2025

👥 vLLM Semantic Team Notification

The following members have been identified for the changed files in this PR and have been automatically assigned:

📁 bench

Owners: @yuezhu1, @Xunzhuo
Files changed:

  • bench/README.md
  • bench/benchmark_comparison.sh
  • bench/dataset_factory.py
  • bench/dataset_implementations/__init__.py
  • bench/dataset_implementations/arc_dataset.py
  • bench/dataset_implementations/commonsenseqa_dataset.py
  • bench/dataset_implementations/gpqa_dataset.py
  • bench/dataset_implementations/hellaswag_dataset.py
  • bench/dataset_implementations/mmlu_dataset.py
  • bench/dataset_implementations/truthfulqa_dataset.py
  • bench/dataset_interface.py
  • bench/router_reason_bench_multi_dataset.py
  • bench/bench_plot.py
  • bench/router_reason_bench.py

vLLM

🎉 Thanks for your contributions!

This comment was automatically generated based on the OWNER files in the repository.

@rootfs rootfs marked this pull request as draft September 12, 2025 19:19
…tion support. Add ARC, GPQA, TruthfulQA, CommonsenseQA, and HellaSwag datasets with optimized token limits and robust answer extraction.

Signed-off-by: Huamin Chen <[email protected]>
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3 participants