# AutoTrain Dataset for project: cognitive_distortions

## Dataset Description

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

### 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": "I have had a lot of change happen this last year in every possible area of life but my thinking patterns just seem to be more prominent and I am pretty scared to think where they may lead",
    "target": 0
  },
  {
    "text": "He knows but my parents do not My family is Mormon but I am not and I don\u2019t want to disappoint my parents more than I already have",
    "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        | 2821 |
| valid        | 706 |
task_categories:text-classification cognitive distortions psychology doi:10.57967/hf/1002 region:us
{"task_categories": ["text-classification"], "tags": ["cognitive distortions", "psychology"]}
TAGS
#task_categories-text-classification #cognitive distortions #psychology #doi-10.57967/hf/1002 #region-us 

AutoTrain Dataset for project: cognitive\_distortions
=====================================================


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


This dataset has been automatically processed by AutoTrain for project cognitive\_distortions.


### 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 #cognitive distortions #psychology #doi-10.57967/hf/1002 #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 #cognitive distortions #psychology #doi-10.57967/hf/1002 #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: