# AutoTrain Dataset for project: based-in-fact

## Dataset Description

This dataset has been automatically processed by AutoTrain for project based-in-fact.

### Languages

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

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
  {
    "text": "\u4e0a\u4e2a\u5927\u5b66\u771f\u7684\u662f\u4ec0\u4e48\u4eba\u90fd\u70b8\u51fa\u6765\u4e86",
    "target": 0
  },
  {
    "text": "\u5982\u679c\u4e00\u4e2aHIV\u611f\u67d3\u8005\u5bf9\u4e8e\u6297\u9006\u8f6c\u5f55\u75c5\u6bd2\u836f\u7269\u5341\u5206\u8010\u53d7\uff0c\u90a3\u4e48\u4ed6\u7684\u6cbb\u7597\u4f1a\u53d8\u5f97\u5341\u5206\u590d\u6742\uff0c\u75c5\u60c5\u5c06\u6076\u5316",
    "target": 1
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['emotion', 'fact'], 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        | 30932 |
| valid        | 3000 |
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: based-in-fact
============================================


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


This dataset has been automatically processed by AutoTrain for project based-in-fact.


### Languages


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


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 unk.


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 unk.


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 unk.


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: