---
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 |