lime-nlp/GSM8K_Difficulty
收藏Hugging Face2025-04-09 更新2025-04-12 收录
下载链接:
https://hf-mirror.com/datasets/lime-nlp/GSM8K_Difficulty
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资源简介:
Difficulty Estimation on DeepScaleR数据集是基于GSM8K数据集构建的,包含了8.5K个高质量的语言多样化的学校数学单词问题。这个数据集旨在支持对需要多步骤推理的基本数学问题的问答任务。数据集的每个问题都通过Qwen 2.5-MATH-7B模型进行了难度评分,用于课程构建和模型评估的适应性信号。
The Difficulty Estimation on DeepScaleR dataset is built based on the GSM8K dataset, containing 8.5K high-quality linguistically diverse grade school math word problems. This dataset is designed to support the task of question answering on basic mathematical problems that require multi-step reasoning. Each problem in the dataset is scored for difficulty using the Qwen 2.5-MATH-7B model, providing an adaptive signal for curriculum construction and model evaluation.
提供机构:
lime-nlp



