---
size_categories: n<1K
task_categories:
- text-generation
- text2text-generation
- question-answering
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  - name: system_prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 7843
    num_examples: 10
  download_size: 8348
  dataset_size: 7843
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-e2bc23ac

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/Frankhihi/my-distiset-e2bc23ac/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/Frankhihi/my-distiset-e2bc23ac/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "I\u0027d like to get straight to the point and address a challenge. Can you describe a situation in which you feel overwhelmed by the vast array of thoughts and ideas in your mind, and how you typically try to manage or categorize them?",
    "prompt": "I\u0027d be happy to help you navigate through your thoughts and ideas. Please go ahead and ask me a direct and concise question or describe the challenge you\u0027re facing, and I\u0027ll do my best to provide a clear and helpful response.",
    "system_prompt": "Assist users with navigating through vast array of thoughts and ideas. Tell them User questions are direct and concise."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("Frankhihi/my-distiset-e2bc23ac", "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("Frankhihi/my-distiset-e2bc23ac")
```


</details>