NagasriramKochetti/TAX_ISSUES

该数据集是为项目tax_issues自动处理的，用于文本分类任务。数据集的实例包含文本和目标字段，目标字段是分类标签。数据集的结构包括文本、目标和其他三个未命名的浮点型特征字段。数据集被划分为训练集和验证集，训练集包含2377个样本，验证集包含622个样本。

原始信息汇总

AutoTrain Dataset for project: tax_issues

数据集描述

该数据集为自动处理用于项目tax_issues的文本分类数据集。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集样例如下：

json [ { "text": "How is Inheritance Tax calculated?", "target": 10, "feat_Unnamed: 2": null, "feat_Unnamed: 3": null, "feat_Unnamed: 4": null }, { "text": "What happens if I work part-time or have multiple jobs as an international student in the UK?", "target": 13, "feat_Unnamed: 2": null, "feat_Unnamed: 3": null, "feat_Unnamed: 4": null } ]

数据集字段

数据集包含以下字段：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(names=[Question1, Question10, Question11, Question12, Question13, Question14, Question15, Question16, Question17, Question18, Question19, Question2, Question20, Question21, Question22, Question23, Question24, Question25, Question26, Question27, Question28, Question29, Question3, Question30, Question31, Question32, Question33, Question34, Question35, Question36, Question37, Question38, Question39, Question4, Question40, Question41, Question42, Question43, Question44, Question45, Question46, Question47, Question49, Question5, Question50, Question6, Question7, Question8, Question9, question48], id=None)", "feat_Unnamed: 2": "Value(dtype=float64, id=None)", "feat_Unnamed: 3": "Value(dtype=float64, id=None)", "feat_Unnamed: 4": "Value(dtype=float64, 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
训练集	2377
验证集	622