OpenRubrics/ReVeR-Traces-Judge

ReVeR-Traces-Judge Supervised fine-tuning data for the agentic judge of ReVeR. Each of the 60,620 trajectories scores one response against every item of a rubric. The judge may call a Python tool for mechanical checks such as counting words; 58.9% of the trajectories contain a tool call. The companion dataset ReVeR-Traces-Rubric holds the rubric-generation examples for the same rubrics. The two datasets are aligned by id: every rubric there is used, word for word, by exactly two… See the full description on the dataset page: https://huggingface.co/datasets/OpenRubrics/ReVeR-Traces-Judge.

<iframe src="https://silytics.si/embed/item/86c0150e-21a1-45d2-a62a-7b4ffce049fa" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.