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
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': synthesis
          '1': analysis
          '2': evaluation
  splits:
  - name: train
    num_bytes: 20842
    num_examples: 110
  download_size: 10256
  dataset_size: 20842
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-8dba07e0

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/PattyKerry/my-distiset-8dba07e0/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/PattyKerry/my-distiset-8dba07e0/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 1,
    "text": "How does the author\u0027s use of symbolism in the novel \u0027The Giver\u0027 contribute to the theme of conformity versus individuality, and what message do you think the author is trying to convey through this symbolism?"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("PattyKerry/my-distiset-8dba07e0", "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("PattyKerry/my-distiset-8dba07e0")
```


</details>




