---
size_categories: n<1K
task_categories:
- text-classification
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': netral
          '1': negatif
          '2': positif
  splits:
  - name: train
    num_bytes: 19887
    num_examples: 73
  download_size: 14124
  dataset_size: 19887
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
---

<p align="left">
  <a href="https://github.com/argilla-io/distilabel">
    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
  </a>
</p>

# Dataset Card for my-distiset-acc23032

This dataset has been created with [distilabel](https://distilabel.argilla.io/).



## Dataset Summary

This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:

```console
distilabel pipeline run --config "https://huggingface.co/datasets/hendyfergus93/my-distiset-acc23032/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/hendyfergus93/my-distiset-acc23032/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


<details><summary> Configuration: default </summary><hr>

```json
{
    "label": 1,
    "text": "I\u0027ve noticed that vaping products are gaining popularity among my younger cousins, but I\u0027m worried about the health risks associated with them. Has anyone tried quitting vape? How difficult is it to stop?"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("hendyfergus93/my-distiset-acc23032", "default")
```

Or simply as it follows, since there's only one configuration and is named `default`: 

```python
from datasets import load_dataset

ds = load_dataset("hendyfergus93/my-distiset-acc23032")
```


</details>