tamer-novel / README.md
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---
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.