Update README.md

README.md

@@ -3,41 +3,43 @@ 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, 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).
+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, designed to streamline AI research and development processes. For an optimized experience, stay tuned for the library's release.
+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).
@@ -49,14 +51,26 @@ To get started with the `tamer-novel` dataset, please follow these steps:
 
 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).
+# 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
 
-## Citation
+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
@@ -67,8 +81,4 @@ If you use the `tamer-novel` dataset in your research, please cite it as follows
   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.
+```