Dataset · Hugging Face

Phaedrus/sabench

Name: sabench
Creator: Phaedrus
License: cc-by-4.0
Keywords: task_categories:text-generation, language:en, license:cc-by-4.0, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, agents, tool-use, safety, benchmark

SABench SABench (Side-effect-Aware Benchmark) is a benchmark dataset for side-effect-aware evaluation of tool-using language model agents. It accompanies the paper Jiaju Huang, Shaobin Chen, Xinglong Liang, Xinyu Ma, Hao Yang, Wei Ke, Tao Tan, Yue Sun. Task Success Is Not Enough: Side-effect-Aware Evaluation of Tool-Using Language Model Agents. NeurIPS 2026, Track on Evaluations and Datasets. Code, deterministic oracle, and the 2,211 evaluation traces from the paper:… See the full description on the dataset page: https://huggingface.co/datasets/Phaedrus/sabench.

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Author / organization	Phaedrus
License (as declared)	cc-by-4.0
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	25 October 2026
Last updated at source	25 October 2026

agentstool-usesafetybenchmarkside-effects

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