Dataset · Hugging Face

Muse-Ltd/UncertaintyGym

Name: UncertaintyGym
Creator: Muse-Ltd
License: apache-2.0
Keywords: task_categories:question-answering, task_categories:text-generation, task_ids:open-domain-qa, task_ids:fact-checking, language:en, license:apache-2.0, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, benchmark

UncertaintyGym A Standardized Benchmark for LLM Epistemic Calibration & Uncertainty Expression Abstract UncertaintyGym evaluates whether language models recognize the boundaries of their knowledge. Rather than assessing purely factual recall, UncertaintyGym measures how reliably an LLM explicitly declares uncertainty ("I don't know"), requests necessary disambiguating context, and rejects false premises without hallucinating. Benchmark Taxonomy… See the full description on the dataset page: https://huggingface.co/datasets/Muse-Ltd/UncertaintyGym.

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Author / organization	Muse-Ltd
License (as declared)	apache-2.0
Downloads	202 (as reported by Hugging Face)
Likes	7
Created	13 August 2026
Last updated at source	18 August 2026

benchmarkevaluationcalibrationuncertaintyepistemic-uncertaintyllm-evaluationhallucination-detection

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