crcb/isear_bert
Text Classification • Updated • 2
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This dataset has been automatically processed by AutoTrain for project isear_bert.
The BCP-47 code for the dataset's language is unk.
A sample from this dataset looks as follows:
[
{
"text": "I was going to go on a vacation to Texas this summer but was \nunable to go because of registration.",
"target": 5
},
{
"text": "When someone whom I considered my friend, without telling me he \nwas annoyed, proceeded to ignore m[...]",
"target": 1
}
]
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=7, names=['anger', 'disgust', 'fear', 'guilt', 'joy', 'sadness', 'shame'], id=None)"
}
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 6008 |
| valid | 1507 |