---
size_categories: n<1K
task_categories:
- text-classification
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': health-status
          '1': family-history
          '2': relationship-status
          '3': financial-status
          '4': travel-history
          '5': education-background
  splits:
  - name: train
    num_bytes: 30438
    num_examples: 79
  download_size: 19361
  dataset_size: 30438
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-a74405a0

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/sho2025/my-distiset-a74405a0/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/sho2025/my-distiset-a74405a0/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 5,
    "text": "John Smith was born on August 12, 1990, in New York City. He holds a Bachelor\u0027s degree in Computer Science from Columbia University and a Master\u0027s degree in Data Science from Stanford University. His address is 123 Main Street, but we can only meet him at the designated meeting point. His phone number is not available as it is for personal use only."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("sho2025/my-distiset-a74405a0", "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("sho2025/my-distiset-a74405a0")
```


</details>