---
license: afl-3.0
task_categories:
- text-generation
- text2text-generation
- summarization
language:
- en
pretty_name: Tamer Novel Dataset
size_categories:
- 100K<n<1M
tags:
- roleplay
- character
- ELiTA
- TaMeR
- RLHF
- novel
---

# Tamer Novel Dataset
Welcome to the `tamer-novel` dataset. This unique dataset is crafted with the remarkable Tamer Novel Styler writing, enhanced by the ELiTA technique, and aims to augment self-awareness in large language models (LLMs).

## Overview
The Tamer Novel dataset is designed for researchers, developers, and enthusiasts in AI, specifically those working on enhancing the self-awareness and contextual understanding of LLMs. By leveraging the novel ELiTA technique, this dataset provides a rich source of stylized narrative text that challenges and refines AI models' comprehension and generation capabilities.

### Dataset Structure
The dataset is structured to facilitate easy access and manipulation for various AI projects. It includes:

- **Text Files**: Each file contains passages from the Tamer Novel, processed through the ELiTA technique.
- **Metadata**: Information about the passages, including style markers and annotations related to the ELiTA technique.

### Using the Dataset
To work with the `tamer-novel` dataset, we recommend using the upcoming AIflow Python library, which is designed to streamline AI research and development processes. Stay tuned for the library's release for an optimized experience.

## Applications
This dataset is ideal for:
- Train and evaluate LLMs on understanding and generating stylized narrative text.
- Research in AI ethics, focusing on developing self-aware AI systems.
- Exploratory projects aiming to understand the impact of narrative styles on AI comprehension and generation.

## How to Use
To get started with the `tamer-novel` dataset, please follow these steps:

1. Install the aiflow python library (coming soon).
2. Load the dataset using aiflow with the following code snippet:

```python
# Code snippet coming soon
```

3. Explore the dataset and start your project!

# Additional Information:
Use this link to read more about the model usage: https://github.com/yukiarimo/yuna-ai

ELiTA Paper: https://www.academia.edu/116519117/ELiTA_Elevating_LLMs_Lingua_Thoughtful_Abilities_via_Grammarly

The Yuna AI V2 model was trained using such a dataset for the first time. You can check the model here: https://huggingface.co/yukiarimo/yuna-ai-v2

## Contributing and Feedback
You can contact the developer for more information or to contribute to the project!

- [Discord](https://discord.com/users/1131657390752800899)
- [Twitter](https://twitter.com/yukiarimo)

[![Patreon](https://img.shields.io/badge/Patreon-F96854?style=for-the-badge&logo=patreon&logoColor=white)](https://www.patreon.com/YukiArimo)
[![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/yukiarimo)

## Acknowledgments
Special thanks to the contributors to the ELiTA technique and the upcoming AIflow Python library. Your innovations and contributions have been invaluable in creating this dataset.

## Citation
If you use the `tamer-novel` dataset in your research, please cite it as follows:

```bibtex
@misc{tamer-novel,
  author = {Yuki Arimo},
  title = {Tamer Novel Dataset},
  year = {2024},
  publisher = {HuggingFace},
  journal = {HuggingFace Dataset Hub},
}
```