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': narrative
          '1': speaker
  splits:
  - name: train
    num_bytes: 63751
    num_examples: 93
  download_size: 36284
  dataset_size: 63751
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-bd2d442c

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/CrasHthe2nd2/my-distiset-bd2d442c/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/CrasHthe2nd2/my-distiset-bd2d442c/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 0,
    "text": "As I walked through the forest, the crunch of leaves beneath my feet was the only sound that broke the silence. The trees towered above me, their branches creaking softly in the gentle breeze. I had been walking for hours, but the path seemed to stretch on forever. Suddenly, a rustling in the underbrush caught my attention. I froze, my heart pounding in my chest. A figure emerged from the thicket, its eyes fixed intently on me. \u0027Hello?\u0027 I said, trying to keep my voice steady. \u0027My name is Emily, and I\u0027m lost.\u0027 The figure didn\u0027t respond, but took a step closer. I could see the glint of a knife in its hand. \u0027Please, don\u0027t hurt me,\u0027 I begged. The figure stopped in its tracks, and for a moment, I thought I saw a flicker of recognition in its eyes. \u0027I\u0027m not going to hurt you, Emily,\u0027 it said finally. \u0027My name is Jack, and I\u0027ve been searching for you.\u0027"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("CrasHthe2nd2/my-distiset-bd2d442c", "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("CrasHthe2nd2/my-distiset-bd2d442c")
```


</details>




