metadata

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:

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!

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!

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:

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