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---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: isear_bert
## Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project isear_bert.
### 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 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
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=7, names=['anger', 'disgust', 'fear', 'guilt', 'joy', 'sadness', 'shame'], 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 | 6008 |
| valid | 1507 |
|