# AutoTrain Dataset for project: analytics-intent-reasoning

## Dataset Description

This dataset has been automatically processed by AutoTrain for project analytics-intent-reasoning.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "\u9500\u552e\u91d1\u989d\u7684\u540c\u6bd4",
    "target": 1
  },
  {
    "text": "\u676d\u5dde\u54ea\u4e2a\u533a\u7684\u9500\u552e\u91d1\u989d\u6700\u9ad8",
    "target": 1
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['\u62a5\u8868\u6784\u5efa', '\u67e5\u8be2\u7c7b', '\u67e5\u8be2\u7c7b\u67e5\u8be2\u7c7b'], 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        | 72 |
| valid        | 20 |

task_categories:text-classification language:zh region:us
{"language": ["zh"], "task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #language-Chinese #region-us 

AutoTrain Dataset for project: analytics-intent-reasoning
=========================================================


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


This dataset has been automatically processed by AutoTrain for project analytics-intent-reasoning.


### Languages


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


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 zh.


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-text-classification #language-Chinese #region-us 
 ### Languages


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


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-text-classification #language-Chinese #region-us 
### Languages


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


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: