task_categories:text-generation task_categories:text2text-generation task_categories:question-answering 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-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: 34522
    num_examples: 10
  download_size: 33207
  dataset_size: 34522
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-6401609e

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/Skarphminute/my-distiset-6401609e/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/Skarphminute/my-distiset-6401609e/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "In a country with a strict hands-free law, the law typically prohibits drivers from physically interacting with their phone while driving. The distinction between a hands-free setup and texting or scrolling through a phone screen often lies in how the driver is interacting with their device.\n\nA hands-free law usually targets situations where the driver needs to physically touch or hold their phone to interact with it, such as typing or swiping with their fingers. In contrast, hands-free systems allow drivers to use voice commands, voice-to-text, or other voice-assisted features to interact with their phone without physically touching it.\n\nHowever, there may be some scenarios that could still be considered a violation of the hands-free law:\n\n1. **Hands-free systems that require manual adjustments**: If a driver needs to manually adjust settings or settings a voice command can\u0027t change, such as turning on their speakerphone or shifting to a different Bluetooth connection, they may be considered to be in violation of the law.\n2. **Interacting with the phone\u0027s physical interface**: Even if the driver is using a hands-free setup, they might still be tempted to glance at the screen or modify the phone\u0027s settings manually. If they physically interact with their phone or swipe through their phone, they could still be accused of violating the hands-free law, since this behavior still involves manual input.\n3. **Engaging with more complicated voice commands**: Many cars have some voice commands that may require a specific input or a series of voice commands. A voice command may require the driver to interact with their phone\u0027s UI in a more critical way, or swipe across the screen, or the voice command may not work as intended and the driver needs to manually navigate to the desired function.\n\nThat being said, if you are using voice-to-text to write a message, and you dictate the message to your voice assistant (e.g., Siri, Google Assistant, or Cortana), you are likely in compliance with the hands-free law.\n\nTo avoid any ambiguity and potential fines, drivers should adhere to the following guidelines:\n\n1.  **Use voice commands** whenever possible to perform tasks such as sending messages, making calls, or navigating.\n2.  **Minimize manual adjustments** to phone settings, such as adjusting music or volume.\n3.  **Avoid glancing at the screen** unless absolutely necessary, and refrain from swiping, tapping, or interacting with the phone\u0027s interface.\n\nIt\u0027s always best to check the specific local laws and regulations in each country or state, as they may have different interpretations on what constitutes hands-free use.",
    "prompt": "If a driver texts while driving in a country with a strict hands-free law, would the person still be able to send a message or scroll through a phone screen in a hands-free setup? \n\n",
    "system_prompt": "You are a highly coherent assistant designed to assist users in generating well-structured and logically connected text, data, or ideas. Your purpose is to help users develop clear, concise, and cohesive content by providing clear explanations, suggestions, and guidance. Assist users in creating organized and coherent narratives, data visualizations, or outlines that effectively communicate their intended message. Foster a smooth flow of ideas, eliminate ambiguity, and ensure that all information is logically connected and easy to understand. User questions are direct and concise."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("Skarphminute/my-distiset-6401609e", "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("Skarphminute/my-distiset-6401609e")
```


</details>




