# AutoNLP Dataset for project: cat33

## Table of content
- [Dataset Description](#dataset-description)
    - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)

## Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project cat33.

### 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": "\"\u5341\u56db\u4e94\"\u65f6\u671f\uff0c\u4f9d\u6258\u6d77\u5357\u5730\u7406\u533a\u4f4d\u4f18\u52bf\u548c\u6d77\u6d0b\u8d44\u6e90\u4f18\u52bf\uff0c\u52a0\u5feb\u57f9\u80b2\u58ee\u5927\u6d77\u6d0b\u7ecf\u6d4e\uff0c\u62d3\u5c55\u6d77\u5357\u7ecf\u6d4e\u53d1\u5c55\u84dd\u8272\u7a7a\u95f4\uff0c\u5bf9\u670d\u52a1\u6d77\u6d0b\u5f3a\u56fd\u6218\u7565\u3001\u63a8\u52a8\u6d77\u5357\u81ea\u7531\u8d38\u6613\u6e2f\u5efa\u8bbe\u53ca\u5b9e\u73b0\u81ea\u8eab\u53d1\u5c55\u5177\u6709\u91cd\u8981\u610f\u4e49",
    "target": 9
  },
  {
    "text": "\u9010\u6b65\u5b9e\u65bd\u533b\u7597\u5668\u68b0\u552f\u4e00\u6807\u8bc6\uff0c\u52a0\u5f3a\u4e0e\u533b\u7597\u7ba1\u7406\u3001\u533b\u4fdd\u7ba1\u7406\u7b49\u8854\u63a5",
    "target": 8
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(num_classes=32, names=['\u4e92\u8054\u7f51\u670d\u52a1', '\u4ea4\u901a\u8fd0\u8f93', '\u4f11\u95f2\u670d\u52a1', '\u4f20\u5a92', '\u4fe1\u606f\u6280\u672f', '\u516c\u7528\u4e8b\u4e1a', '\u519c\u4e1a', '\u5316\u5de5\u5236\u9020', '\u533b\u836f\u751f\u7269', '\u5546\u4e1a\u8d38\u6613', '\u56fd\u9632\u519b\u5de5', '\u5bb6\u7528\u7535\u5668', '\u5efa\u7b51\u4e1a', '\u623f\u5730\u4ea7', '\u6559\u80b2', '\u6587\u5316', '\u6709\u8272\u91d1\u5c5e', '\u673a\u68b0\u88c5\u5907\u5236\u9020', '\u6797\u4e1a', '\u6c7d\u8f66\u5236\u9020', '\u6e14\u4e1a', '\u7535\u5b50\u5236\u9020', '\u7535\u6c14\u8bbe\u5907', '\u755c\u7267\u4e1a', '\u7eba\u7ec7\u670d\u88c5\u5236\u9020', '\u8f7b\u5de5\u5236\u9020', '\u901a\u4fe1', '\u91c7\u77ff\u4e1a', '\u94a2\u94c1', '\u94f6\u884c', '\u975e\u94f6\u91d1\u878d', '\u98df\u54c1\u996e\u6599'], 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        | 1836 |
| valid        | 460 |

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

AutoNLP Dataset for project: cat33
==================================


Table of content
----------------


* Dataset Description
	+ Languages
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits


Dataset Descritpion
-------------------


This dataset has been automatically processed by AutoNLP for project cat33.


### 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: