---
language:
- en
license: mit
task_categories:
- text2text-generation
- text-generation
- summarization
tags:
- chemistry
- biology
- finance
- legal
- music
- art
- code
- climate
- medical
- synthetic
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 20371003
    num_examples: 94501
  download_size: 13771195
  dataset_size: 20371003
---
# LLM Prompt Dataset

## Overview

The LLM Prompt Dataset is designed to enhance the performance of large language models (LLMs) by transforming user inputs into structured prompts. This dataset aims to facilitate the understanding of complex queries and improve the interaction between users and LLMs.

## Dataset Structure

The dataset is organized in JSON format, where each entry consists of an `input` and a `prompt`. The `input` represents the original user query or statement, while the `prompt` provides a clear and concise reformulation suitable for LLM processing.

## Features

- **User-Centric Design**: Each entry is crafted to reflect common user queries, ensuring relevance and applicability.
- **Diverse Topics**: The dataset covers a wide range of topics, making it suitable for various applications in natural language processing and machine learning.
- **Structured Format**: The use of JSON format ensures compatibility with various data processing tools and frameworks.

## Usage

To use this dataset, you can download it directly from the Hugging Face repository or access it using the Hugging Face `datasets` library. The dataset can be utilized for training, fine-tuning, or evaluating large language models.

### Installation

You can install the `datasets` library using pip if you haven't done so already:

```bash
pip install datasets
```

### Loading the Dataset

Here’s how to load the dataset using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

dataset = load_dataset("your_username/your_dataset_name")
```

## Contributing

Contributions to this dataset are welcome! If you have suggestions for additional entries or improvements, please open an issue or submit a pull request.

## License

This dataset is licensed under [MIT License](LICENSE).

## Acknowledgments

Thank you to the community for supporting the development and improvement of this dataset. Your contributions make a difference in the field of natural language processing.