README.md

---
license: afl-3.0
task_categories:
- text-generation
- text2text-generation
language:
- en
pretty_name: Tamer Novel Dataset
size_categories:
- 100K<n<1M
---

# Tamer Novel Dataset

Welcome to the `tamer-novel` dataset, hosted on HuggingFace by Yuki Arimo. This unique dataset is crafted with the remarkable Tamer Novel Styler writing, enhanced by the ELiTA technique, aiming 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, designed to streamline AI research and development processes. For an optimized experience, stay tuned for the library's release.

## 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!

## Support

This project is a labor of love, aiming to push the boundaries of AI research and development. If you find this helpful dataset and want to support our work, consider becoming a patron on [Patreon](https://www.patreon.com/YukiArimo).

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

## 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},
}
```

## 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.