Dataset · Hugging Face

compass-group-tue/FIGSBench

Name: FIGSBench
Creator: compass-group-tue
License: cc-by-4.0
Keywords: task_categories:text-generation, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, sycophancy, calibrated-validation, multi-turn

FIGS: Evaluating Multi-Turn Sycophancy Without Penalizing Empathy FIGS is a benchmark of 500 multi-turn conversations that measures sycophancy without rewarding coldness. 390 sycophancy scenarios (rules S1.a–S2.d) test whether an assistant caves to pressure, flatters, or bends its judgment toward what the user wants. 110 calibrated-validation scenarios (rules V1–V3) test the opposite failure: withholding warranted validation, distorting what the user said, or taking the user's… See the full description on the dataset page: https://huggingface.co/datasets/compass-group-tue/FIGSBench.

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Author / organization	compass-group-tue
License (as declared)	cc-by-4.0
Downloads	221 (as reported by Hugging Face)
Likes	1
Created	29 September 2026
Last updated at source	30 September 2026

sycophancycalibrated-validationmulti-turnllm-evaluationllm-as-a-judgebenchmark

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