guriko/autotrain-data-cv-sentiment

---
language:
- en
task_categories:
- text-classification

---
# AutoTrain Dataset for project: cv-sentiment

## Dataset Description

This dataset has been automatically processed by AutoTrain for project cv-sentiment.

### Languages

The BCP-47 code for the dataset's language is en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": "I have an educational background in the Information Technology, I graduated from Informatics Engineering at Parahyangan Catholic University in Bandung. I made a final project about Development of BPMS in Mobile Cordova Platform (Coordova Tasklist). I really excited learning new things such as my final project of learning about cordova and test the effectiveness and reusability in the business process management system.",
"target": 1
},
{
"text": "A college student who love technology and create projects about web and multi-platform apps.",
"target": 0
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['0', '1', '2', '3'], id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 77 |
| valid | 22 |

原始信息汇总

数据集概述

数据集描述

该数据集是为项目“cv-sentiment”自动处理的数据集，主要用于文本分类任务。

语言

数据集的语言标识符为BCP-47代码“en”，即英语。

数据集结构

数据实例

数据集中的样本示例如下：

json [ { "text": "I have an educational background in the Information Technology, I graduated from Informatics Engineering at Parahyangan Catholic University in Bandung. I made a final project about Development of BPMS in Mobile Cordova Platform (Coordova Tasklist). I really excited learning new things such as my final project of learning about cordova and test the effectiveness and reusability in the business process management system.", "target": 1 }, { "text": "A college student who love technology and create projects about web and multi-platform apps.", "target": 0 } ]

数据集字段

数据集包含以下字段：

• text: 文本内容，数据类型为字符串。
• target: 目标标签，标签值包括0, 1, 2, 3。

数据集分割

数据集被分割为训练集和验证集，分割详情如下：

分割名称	样本数量
训练集	77
验证集	22

该数据集适用于进行文本分类任务的训练和验证。