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license: mit
task_categories:
- text-generation
- question-answering
language:
- en
tags:
- benchmark
- evaluation
- reasoning
- multiple-choice
- llm
size_categories:
- medium
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# 📊 Simple Bench Dataset
**A Compact Benchmark for Structured Reasoning and Multiple-Choice Evaluation in Large Language Models**
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<strong><a href="https://huggingface.co/buckets/sapiens-technology/simple_bench/resolve/simple_bench.zip?download=true">Simple Bench Dataset</a></strong> is a structured evaluation collection derived from the Simple Bench benchmark, designed to assess reasoning, comprehension, and multiple-choice question-answering capabilities of large language models through concise yet non-trivial problems that require logical inference rather than simple retrieval; each sample consists of a natural language <em>input</em> containing a question with multiple-choice options (A–F) and an <em>output</em> representing the correct answer, enabling straightforward and deterministic evaluation; the dataset is model-agnostic and optimized for benchmarking performance across reasoning tasks, fine-tuning QA systems, and comparing robustness on short-form logical problems, with evaluation typically performed via exact match accuracy or option-level classification, making it suitable for standardized and reproducible LLM assessment pipelines.
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<sub>Development of Sapiens Technology®️</sub>
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