metadata

task_categories:
  - text-classification

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:

[
  {
    "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"):

{
  "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