Paercky/autotrain-data-Tweets

---
language:
- en
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Tweets

## Dataset Descritpion

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

### 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": "So the mask mandate goes away the day after #Furnal2022 ends, and you know what will happen after th[...]",
"target": 0
},
{
"text": "@EwanMacKenna Also does anyone know whether Margaret Buttimer of Bandon is still in prison for the '[...]",
"target": 1
}
]
```

### Dataset Fields

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

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=3, names=['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 | 1679 |
| valid | 420 |

原始信息汇总

AutoTrain Dataset for project: Tweets

数据集描述

本数据集由AutoTrain自动处理，用于Tweets项目。

语言

数据集的语言代码为BCP-47标准的en。

数据集结构

数据实例

数据集的样本示例如下：

json [ { "text": "So the mask mandate goes away the day after #Furnal2022 ends, and you know what will happen after th[...]", "target": 0 }, { "text": "@EwanMacKenna Also does anyone know whether Margaret Buttimer of Bandon is still in prison for the [...]", "target": 1 } ]

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=3, names=[1, 2, 3], 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	1679
验证集	420