Ereeeeef3/Qu-QA
收藏Hugging Face2024-12-12 更新2024-12-14 收录
下载链接：
https://hf-mirror.com/datasets/Ereeeeef3/Qu-QA
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资源简介：
Qu QA是一个大规模的问题-回答（QA）数据集，专为训练和评估机器学习模型而设计。它包含英语的问题-回答对，适用于通用QA任务以及特定领域如代码相关的问题回答和GSM8k风格的问题。数据集特性包括：`input`字段表示问题（数据类型：字符串），`output`字段表示答案（数据类型：字符串）。数据集划分为`train`部分，包含4,343,971个示例，总大小约为4.8 GB，下载大小约为2.5 GB。
Qu QA is a large-scale question-answering (QA) dataset designed for training and evaluating machine learning models. It consists of question-answer pairs in English, making it suitable for general-purpose QA tasks, as well as specialized domains like code-related question answering and GSM8k-style problems. The dataset features include: `input` field representing the question (dtype: string), `output` field representing the answer (dtype: string). The dataset is split into `train` with 4,343,971 examples, total dataset size of ~4.8 GB, and download size of ~2.5 GB.
提供机构：
Ereeeeef3
