supermario/autotrain-data-test-auto

---
task_categories:
- conditional-text-generation

---
# AutoTrain Dataset for project: test-auto

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project test-auto.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": "aen: {R.C. Sproul: Holy, Holy, Holy}{65%}{85%}{blessing for Isaiah. Here we find a prophet doing som[...]",
"target": "Instead of announcing God's curse upon the sinful nations who were in rebellion against Him, Isaiah [...]"
},
{
"text": "aen: {Data Connector for Salesforce}{52%}{100%}{to point out is that we do have a SOQL editor availa[...]",
"target": "This will allow you to customize the query further than is available in our graphic interface. Now t[...]"
}
]
```

### Dataset Fields

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

```json
{
"text": "Value(dtype='string', id=None)",
"target": "Value(dtype='string', 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 | 408041 |
| valid | 102011 |

原始信息汇总

AutoTrain Dataset for project: test-auto

数据集描述

该数据集是为项目test-auto自动处理的。

语言

数据集的语言BCP-47代码为unk。

数据集结构

数据实例

数据集的样本示例如下：

json [ { "text": "aen: {R.C. Sproul: Holy, Holy, Holy}{65%}{85%}{blessing for Isaiah. Here we find a prophet doing som[...]", "target": "Instead of announcing Gods curse upon the sinful nations who were in rebellion against Him, Isaiah [...]" }, { "text": "aen: {Data Connector for Salesforce}{52%}{100%}{to point out is that we do have a SOQL editor availa[...]", "target": "This will allow you to customize the query further than is available in our graphic interface. Now t[...]" } ]

数据集字段

数据集包含以下字段（也称为“特征”）：

json { "text": "Value(dtype=string, id=None)", "target": "Value(dtype=string, 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	408041
验证集	102011