Jonnylaw/questioning-dataset

该数据集是为项目exacts自动处理的，主要用于摘要生成任务。数据集包含文本和摘要对，展示了植物如何适应不同环境以及火山如何喷发等示例。数据集结构包括两个字段：text和target，分别表示输入文本和摘要。数据集被划分为训练集和验证集，分别包含156和39个样本。

This dataset was automatically curated for the project exacts and is primarily designed for summarization tasks. It consists of text-summary pairs, with examples illustrating how plants adapt to diverse environments and how volcanoes erupt, among others. The dataset structure includes two fields: `text` and `target`, which represent the input text and the summary respectively. The dataset is split into training and validation sets, which contain 156 and 39 samples respectively.

原始信息汇总

AutoTrain Dataset for project: exacts

数据集描述

该数据集是为项目“exacts”自动处理的数据集。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的样本示例如下：

json [ { "text": "How do plants adapt to different environments?", "target": "Plants adapt to different environments through a variety of mechanisms. Some examples include developing deep roots to access water in dry regions, growing smaller leaves to reduce water loss in hot regions, or producing chemicals to deter herbivores in regions with high herbivore populations." }, { "text": "How do volcanoes erupt?", "target": "Volcanoes erupt when pressure from molten rock, ash, and gas inside the volcano builds up and eventually forces its way to the surface. This can happen through a volcanos central vent or through fissures on its slopes." } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "text": "Value(dtype=string, id=None)", "target": "Value(dtype=string, id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
训练集	156
验证集	39

搜集汇总

背景与挑战

背景概述

该数据集是用于摘要生成任务的AutoTrain自动处理数据集，包含文本和摘要目标字段，共195个样本划分为训练集和验证集。但数据集生成过程中出现Parquet格式写入错误，导致无法正常预览和使用。