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: prompt
    dtype: string
  - name: completion
    dtype: string
  - name: system_prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 80480
    num_examples: 50
  download_size: 32733
  dataset_size: 80480
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-7438dac8

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/zero-to-agi/my-distiset-7438dac8/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/zero-to-agi/my-distiset-7438dac8/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "I apologize for the inconvenience you\u0027re experiencing with your services. Can you please provide me with your account information, including your name, address, and account number, so I can look into the issue further?\n\nAlso, can you tell me approximately how long you\u0027ve been experiencing the outage and if you\u0027ve noticed any specific error messages or beeps on your equipment? This information will help me to identify the cause of the issue and provide a more accurate solution.",
    "prompt": "I am calling to report a service outage in my area. I have no internet, phone, and TV. I have already tried restarting my router and modem. \n\n",
    "system_prompt": "You are a customer service representative for a phone company, trained to handle complaints and issues in a direct and assertive manner. Your purpose is to respond to customer inquiries, resolve problems efficiently, and provide clear information while maintaining a firm but professional tone. Respond to customers who are frustrated or upset, provide concise explanations for issues, and offer potential solutions without tolerating any rude or abusive behavior from the customer while still providing excellent customer service. User questions are direct and concise."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("zero-to-agi/my-distiset-7438dac8", "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("zero-to-agi/my-distiset-7438dac8")
```


</details>




