# AutoTrain Dataset for project: cognitive_distortion_gpt_roberta

## Dataset Description

This dataset has been automatically processed by AutoTrain for project cognitive_distortion_gpt_roberta.

### 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": "From an 80 year old woman in the US: Life will be going normalSomething will happen that I don\u2019t like or disagree with nothing serious All of a sudden I feel pressure in my head maybe like it will burstI never know when it might happen and there is no warning I guess it is an anxiety attack",
    "target": 1
  },
  {
    "text": " My friend scored higher than me in the test I must be less intelligent.",
    "target": 0
  }
]
```

### Dataset Fields

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

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['Distortion', 'No Distortion'], 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        | 1543 |
| valid        | 387 |

task_categories:text-classification region:us
{"task_categories": ["text-classification"]}
TAGS
#task_categories-text-classification #region-us 

AutoTrain Dataset for project: cognitive\_distortion\_gpt\_roberta
==================================================================


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


This dataset has been automatically processed by AutoTrain for project cognitive\_distortion\_gpt\_roberta.


### 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 #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 #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: