mito0o852/ContextToQuestions

该数据集名为基于上下文的问答生成数据集，主要用于基于上下文的问答生成任务。数据集包含多个字段，如上下文、问题、难度、问题类型、选项和答案，涵盖了不同难度和类型的问题。数据集是通过ChatGPT合成的，旨在测试理解和推理能力。

This dataset is designed for context-based question generation, where questions of different types (true/false, multiple-choice, open-ended) are generated based on a given context. The dataset is synthetically created using ChatGPT, providing a diverse set of questions to test comprehension and reasoning skills. Each example includes fields such as context, question, difficulty level, question type, options, and correct answer.

原始信息汇总

Context-Based Question Generation Dataset

数据集概述

该数据集旨在用于基于上下文的问题生成，其中根据给定上下文生成不同类型（真/假、多项选择、开放式）的问题。数据集通过使用ChatGPT合成创建，提供了一系列多样性的问题，以测试理解和推理能力。

数据集结构

数据集的每个示例包含以下字段：

• context：用于问题生成的上下文。
• question：与上下文相关的问题。
• difficulty：问题的难度级别（例如，“简单”、“中等”、“困难”）。
• question_type：生成的问题类型（例如，“真/假”、“多项选择”、“开放式”）。
• options：对于多项选择题，提供的选项列表。
• answer：问题的正确答案或响应。

示例

示例1

Context: Planning and producing responses requires an ability to make sense of the world around us. Making judgments and reasoning in the abstract are necessary to produce movements as part of larger responses...

Question: According to the text, what functions are attributed to the prefrontal cortex?

Difficulty: Medium
Question Type: Multiple Choice
Options: ["A) Motor functions", "B) Abstract reasoning and judgment", "C) Visual processing"]
Answer: B) Abstract reasoning and judgment

示例2

Context: In the mental status exam, the subtest that assesses judgment and reasoning is directed at three aspects of frontal lobe function...

Question: In the mental status exam, which aspects of frontal lobe function are specifically assessed?

Difficulty: Medium
Question Type: Multiple Choice
Options: ["A) Motor functions", "B) Problem-solving, interpretation of proverbs, word comparisons", "C) Visual processing"]
Answer: B) Problem-solving, interpretation of proverbs, word comparisons

使用

该数据集可用于训练和评估专注于基于上下文的问题生成的模型。它提供了涵盖各种难度级别和问题类型的多样性示例。

引用

如果您在研究或应用中使用此数据集，请按以下方式引用： bibtex @misc{context_based_question_dataset, title={Context-Based Question Generation Dataset}, author={Moustapha Oumar}, year={2024}, }