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:
- Install the aiflow python library (coming soon).
- Load the dataset using aiflow with the following code snippet:
# Code snippet coming soon
- 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.
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:
@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.