Jerimee/autotrain-data-dontknowwhatImdoing

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

## Dataset Descritpion

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

### 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": "Gaston",
"target": 1
},
{
"text": "Churchundyr",
"target": 0
}
]
```

Note that, sadly, it flipped the boolean, using 1 for mundane and 0 for goblin.

### Dataset Fields

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

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['Goblin', 'Mundane'], 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 | 965 |
| valid | 242 |

原始信息汇总

数据集概述

数据集描述

本数据集是为项目“dontknowwhatImdoing”通过AutoTrain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

数据集中的样本示例如下：

json [ { "text": "Gaston", "target": 1 }, { "text": "Churchundyr", "target": 0 } ]

数据集字段

数据集包含以下字段：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=2, names=[Goblin, Mundane], id=None)" }

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	965
验证集	242

数据集用途

本数据集用于文本分类任务。