# AutoTrain Dataset for project: fine-tune-english-chinese

## Dataset Description

This dataset has been automatically processed by AutoTrain for project fine-tune-english-chinese.

### Languages

The BCP-47 code for the dataset's language is zh2en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "source": "It is not difficult to hear importing workers in Hong Kong.",
    "target": "\u5728\u9999\u6e2f\uff0c\u8981\u542c\u5230\u8fdb\u53e3\u5de5\u4eba\u7684\u58f0\u97f3\u5e76\u4e0d\u96be\u3002"
  },
  {
    "source": "And most of these importing workers are professionals.",
    "target": "\u800c\u8fd9\u4e9b\u8fdb\u53e3\u5de5\u4eba\u5927\u591a\u662f\u4e13\u4e1a\u4eba\u58eb\u3002"
  }
]
```

### 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        | 2 |
| valid        | 1 |

task_categories:translation language:zh language:en region:us
{"language": ["zh", "en"], "task_categories": ["translation"]}
TAGS
#task_categories-translation #language-Chinese #language-English #region-us 

AutoTrain Dataset for project: fine-tune-english-chinese
========================================================


Dataset Description
-------------------


This dataset has been automatically processed by AutoTrain for project fine-tune-english-chinese.


### Languages


The BCP-47 code for the dataset's language is zh2en.


Dataset Structure
-----------------


### Data Instances


A sample from this dataset looks as follows:


### Dataset Fields


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


### Dataset Splits


This dataset is split into a train and validation split. The split sizes are as follow:




### Languages


The BCP-47 code for the dataset's language is zh2en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
TAGS
#task_categories-translation #language-Chinese #language-English #region-us 
 ### Languages


The BCP-47 code for the dataset's language is zh2en.


Dataset Structure
----------------- ### Data Instances


A sample from this dataset looks as follows: ### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow:
passage: TAGS
#task_categories-translation #language-Chinese #language-English #region-us 
### Languages


The BCP-47 code for the dataset's language is zh2en.


Dataset Structure
-----------------### Data Instances


A sample from this dataset looks as follows:### Dataset Fields


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


This dataset is split into a train and validation split. The split sizes are as follow: