task_categories:text-classification region:us
---
task_categories:
- text-classification

---
# AutoTrain Dataset for project: test-auto

## Dataset Description

This dataset has been automatically processed by AutoTrain for project test-auto.

### 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'm indifferent towards this restaurant. The food was average, and the service was neither exceptional nor terrible.",
    "target": 1
  },
  {
    "text": "\"The product I received was damaged and didn't work properly. I reached out to customer support, but they were unhelpful and unresponsive.\"",
    "target": 0
  }
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
  "text": "Value(dtype='string', id=None)",
  "target": "ClassLabel(names=['Negative', 'Neutral', 'Positive'], 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        | 26 |
| valid        | 8 |
