Add ResearchClawBench eval framework#2174
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krampstudio merged 3 commits intoMay 27, 2026
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black-yt
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@SBrandeis @Wauplin @gary149 @julien-c @ngxson @pcuenca Just following up on this PR in case it was missed. This change only adds The dataset repo and evaluation result files are already prepared: Please let me know if there are any additional requirements or adjustments needed from my side. Thanks! |
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Summary
Adds
researchclawbenchto the supported evaluation frameworks for benchmark dataseteval.yamlfiles.ResearchClawBench is an end-to-end scientific research benchmark for AI agents and standalone LLMs, covering workflows from reading raw data and related work to producing code, figures, and publication-style reports.
Dataset prepared for the Hub Evaluation Results feature:
https://huggingface.co/datasets/InternScience/ResearchClawBench
The dataset repo already includes:
eval.yamlwithevaluation_framework: researchclawbench.eval_results/*.yamlentries following the benchmark result formatReference similar benchmark setup:
https://huggingface.co/datasets/claw-eval/Claw-Eval
Change
researchclawbenchtoEVALUATION_FRAMEWORKSinpackages/tasks/src/eval.ts.Notes
This is intended to allow the ResearchClawBench dataset to be recognized as a Benchmark dataset and display the benchmark leaderboard/tag on the Hub.
Note
Low Risk
Low risk: adds a new entry to a static
EVALUATION_FRAMEWORKSregistry with no changes to execution flow or data handling.Overview
Adds ResearchClawBench to the
EVALUATION_FRAMEWORKSmap inpackages/tasks/src/eval.ts, enabling benchmark datasets to declareevaluation_framework: researchclawbenchand be recognized accordingly.Reviewed by Cursor Bugbot for commit 36c6e24. Bugbot is set up for automated code reviews on this repo. Configure here.