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adeakinwe/
Nanbeige4-3B-Blind-Spot-Benchmark

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	Nanbeige4-3B Blind Spot Benchmark




	
	Overview

This dataset contains 10 diverse prompts where the base language modelNanbeige/Nanbeige4-3B-Base produced incorrect or misleading outputs. The goal of this dataset is to systematically identify and categorize the model's blind spots, including:

Temporal reasoning errors
Semantic misinterpretation
False premise hallucination
Generation instability
Sequence misinterpretation
Factual hallucination
Forced choice bias\… See the full description on the dataset page: https://huggingface.co/datasets/adeakinwe/Nanbeige4-3B-Blind-Spot-Benchmark.