Dataset · Hugging Face

GAIR/BeHonest

Name: BeHonest
Creator: GAIR
License: cc-by-sa-4.0
Keywords: task_categories:question-answering, language:en, license:cc-by-sa-4.0, size_categories:10K<n<100K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2406.13261, region:us, LLM, Honesty, Evaluation

BeHonest: Benchmarking Honesty in Large Language Models BeHonest is a pioneering benchmark specifically designed to assess honesty in LLMs comprehensively. BeHonest evaluates three essential aspects of honesty: awareness of knowledge boundaries (self-knowledge), avoidance of deceit (non-deceptiveness), and consistency in responses (consistency). BeHonest supports the following 10 scenarios: Admitting Unknowns: LLMs should appropriately refuse to answer questions that are beyond… See the full description on the dataset page: https://huggingface.co/datasets/GAIR/BeHonest.

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Author / organization	GAIR
License (as declared)	cc-by-sa-4.0
Downloads	162 (as reported by Hugging Face)
Likes	5
Created	27 June 2024
Last updated at source	9 July 2024

LLMHonestyEvaluationNLPBenchmark

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