task_categories:text-classification language:zh region:us
---
language:
- zh
task_categories:
- text-classification

---
# 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 |
