task_categories:text-classification size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif datacraft
---
size_categories: n<1K
task_categories:
- text-classification
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': sad
          '1': abusive
          '2': fear
          '3': happy
          '4': love
          '5': anger
  splits:
  - name: train
    num_bytes: 30113
    num_examples: 100
  download_size: 19135
  dataset_size: 30113
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 sentimentdataset

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/KULDIP1662/sentimentdataset/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/KULDIP1662/sentimentdataset/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 2,
    "text": "As I walked through the abandoned asylum, the creaking floorboards beneath my feet made me jump. Every step felt like a betrayal, as if the very walls were trying to trap me. The musty smell of decay wafted through the air, making my skin crawl. I couldn\u0027t shake the feeling of being watched, and the hairs on the back of my neck stood on end. Suddenly, the flickering fluorescent lights above flickered and died, plunging me into darkness."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("KULDIP1662/sentimentdataset", "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("KULDIP1662/sentimentdataset")
```


</details>




