Akshata/autotrain-data-demo_compliance

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

---
# AutoTrain Dataset for project: demo_compliance

## Dataset Description

This dataset has been automatically processed by AutoTrain for project demo_compliance.

### 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": "Welcome back Abhishek! What can I do to help? ",
"target": 0
},
{
"text": "Hi , I am calling from ABC finance. I would like to inform you that you are eligible for a Personal Loan",
"target": 0
}
]
```

### Dataset Fields

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

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['Negative', 'Positive'], 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 | 31 |
| valid | 9 |

原始信息汇总

AutoTrain Dataset for project: demo_compliance

数据集描述

该数据集是为项目demo_compliance自动处理生成的。

语言

数据集使用的BCP-47语言代码为en。

数据集结构

数据实例

数据集的样本示例如下：

json [ { "text": "Welcome back Abhishek! What can I do to help? ", "target": 0 }, { "text": "Hi , I am calling from ABC finance. I would like to inform you that you are eligible for a Personal Loan", "target": 0 } ]

数据集字段

数据集包含以下字段（特征）：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=2, names=[Negative, Positive], 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	31
验证集	9