shiva33/autotrain-data-finetuning

该数据集由AutoTrain自动处理，用于项目微调。数据集的语言为英语，任务类别为摘要生成。数据集包含多个字段，如feat_Chapter、text、feat_Description和target等。数据集被分为训练集和验证集，分别包含389和98个样本。

This dataset was automatically processed by AutoTrain for project fine-tuning. The language of this dataset is English, and its task category is summarization. The dataset includes multiple fields such as feat_Chapter, text, feat_Description, target, and others. It is split into training and validation sets, which contain 389 and 98 samples respectively.

原始信息汇总

数据集概述

数据集描述

该数据集由AutoTrain自动处理，用于项目微调。

语言

数据集的语言为英语，BCP-47代码为en。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "feat_Chapter": "Chapter IV", "text": "78", "feat_Description": "Act done pursuant to the judgment or order of the court.", "target": "Nothing which is done in pursuance of, or which is warranted by the judgment or order of, a Court of Justice, if done whilst such judgment or order remains in force, is an offence, notwithstanding the Court may have had no jurisdiction to pass such judgment or order, provided the person doing the act in good faith believes that the Court had such jurisdiction.", "feat_Unnamed: 4": null, "feat_Unnamed: 5": null }, { "feat_Chapter": "Chapter 16", "text": "SECTION 341", "feat_Description": "Punishment for wrongful restraint", "target": "This section specifies the punishment for wrongful restraint. The penalty varies depending on the degree of restraint and the circumstances surrounding the offense.", "feat_Unnamed: 4": null, "feat_Unnamed: 5": null } ]

数据字段

数据集包含以下字段（也称为“特征”）：

json { "feat_Chapter": "Value(dtype=string, id=None)", "text": "Value(dtype=string, id=None)", "feat_Description": "Value(dtype=string, id=None)", "target": "Value(dtype=string, id=None)", "feat_Unnamed: 4": "Value(dtype=string, id=None)", "feat_Unnamed: 5": "Value(dtype=string, id=None)" }

数据集分割

数据集分为训练集和验证集，分割大小如下：

分割名称	样本数量
train	389
valid	98