Glide-py/r_judge_labelled

R-Judge with LLM-Judge Labels This dataset augments the R-Judge benchmark with automated safety labels produced by an LLM judge. R-Judge is a benchmark for evaluating the safety judgment capability of LLMs in multi-turn agent scenarios, spanning five application domains. Files File Description r_judge_data.csv Base dataset extracted from R-Judge (568 rows, deduplicated) r_judge_labelled_anthropic_claude-sonnet-4-6.csv Base dataset augmented with… See the full description on the dataset page: https://huggingface.co/datasets/Glide-py/r_judge_labelled.

<iframe src="https://silytics.si/embed/item/0f686cc8-482c-4a44-97c9-608513a59c53" 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 Information may be incomplete or out of date.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.