halilbabacan/autotrain-cognitive_distortion_gpt_roberta-73173139143
Text Classification
•
Updated
This dataset has been automatically processed by AutoTrain for project cognitive_distortion_gpt_roberta.
The BCP-47 code for the dataset's language is unk.
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
}
]
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['Distortion', 'No Distortion'], id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
Split name | Num samples |
---|---|
train | 1543 |
valid | 387 |