mhmtcrkglu/autotrain-data-testtranslation

---
language:
- tr
- ar
task_categories:
- translation

---
# AutoTrain Dataset for project: testtranslation

## Dataset Description

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

### Languages

The BCP-47 code for the dataset's language is tr2ar.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"source": "TrueMood",
"target": "\u062a\u0631\u0648\u0645\u0648\u062f"
},
{
"source": "cleanwax",
"target": "\u0643\u0644\u064a\u0646\u0648\u0627\u0643\u0633"
}
]
```

### Dataset Fields

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

```json
{
"source": "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 | 24 |
| valid | 6 |

This dataset has been automatically processed by AutoTrain for project testtranslation, containing Turkish to Arabic translation tasks. The datasets language code is tr2ar, with data instances showing the correspondence between the source and target languages. The dataset fields include source and target fields, and the dataset is split into a train and validation set, with 24 samples in the training set and 6 samples in the validation set.

原始信息汇总

AutoTrain Dataset for project: testtranslation

数据集描述

该数据集由AutoTrain自动处理，用于项目testtranslation。

语言

数据集的语言BCP-47代码为tr2ar。

数据集结构

数据实例

数据集的一个样本如下：

json [ { "source": "TrueMood", "target": "u062au0631u0648u0645u0648u062f" }, { "source": "cleanwax", "target": "u0643u0644u064au0646u0648u0627u0643u0633" } ]

数据字段

数据集包含以下字段（也称为“特征”）：

json { "source": "Value(dtype=string, id=None)", "target": "Value(dtype=string, 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
train	24
valid	6