yukiarimo commited on
Commit
63b2d15
1 Parent(s): 40f02ce

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +27 -17
README.md CHANGED
@@ -3,41 +3,43 @@ license: afl-3.0
3
  task_categories:
4
  - text-generation
5
  - text2text-generation
 
6
  language:
7
  - en
8
  pretty_name: Tamer Novel Dataset
9
  size_categories:
10
  - 100K<n<1M
 
 
 
 
 
 
 
11
  ---
12
 
13
  # Tamer Novel Dataset
14
-
15
- 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).
16
 
17
  ## Overview
18
-
19
  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.
20
 
21
  ### Dataset Structure
22
-
23
  The dataset is structured to facilitate easy access and manipulation for various AI projects. It includes:
24
 
25
  - **Text Files**: Each file contains passages from the Tamer Novel, processed through the ELiTA technique.
26
  - **Metadata**: Information about the passages, including style markers and annotations related to the ELiTA technique.
27
 
28
  ### Using the Dataset
29
-
30
- 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.
31
 
32
  ## Applications
33
-
34
  This dataset is ideal for:
35
  - Train and evaluate LLMs on understanding and generating stylized narrative text.
36
  - Research in AI ethics, focusing on developing self-aware AI systems.
37
  - Exploratory projects aiming to understand the impact of narrative styles on AI comprehension and generation.
38
 
39
  ## How to Use
40
-
41
  To get started with the `tamer-novel` dataset, please follow these steps:
42
 
43
  1. Install the aiflow python library (coming soon).
@@ -49,14 +51,26 @@ To get started with the `tamer-novel` dataset, please follow these steps:
49
 
50
  3. Explore the dataset and start your project!
51
 
52
- ## Support
53
-
54
- 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).
55
 
56
  ELiTA Paper: https://www.academia.edu/116519117/ELiTA_Elevating_LLMs_Lingua_Thoughtful_Abilities_via_Grammarly
57
 
58
- ## Citation
 
 
 
59
 
 
 
 
 
 
 
 
 
 
 
60
  If you use the `tamer-novel` dataset in your research, please cite it as follows:
61
 
62
  ```bibtex
@@ -67,8 +81,4 @@ If you use the `tamer-novel` dataset in your research, please cite it as follows
67
  publisher = {HuggingFace},
68
  journal = {HuggingFace Dataset Hub},
69
  }
70
- ```
71
-
72
- ## Acknowledgments
73
-
74
- 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.
 
3
  task_categories:
4
  - text-generation
5
  - text2text-generation
6
+ - summarization
7
  language:
8
  - en
9
  pretty_name: Tamer Novel Dataset
10
  size_categories:
11
  - 100K<n<1M
12
+ tags:
13
+ - roleplay
14
+ - character
15
+ - ELiTA
16
+ - TaMeR
17
+ - RLHF
18
+ - novel
19
  ---
20
 
21
  # Tamer Novel Dataset
22
+ 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).
 
23
 
24
  ## Overview
 
25
  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.
26
 
27
  ### Dataset Structure
 
28
  The dataset is structured to facilitate easy access and manipulation for various AI projects. It includes:
29
 
30
  - **Text Files**: Each file contains passages from the Tamer Novel, processed through the ELiTA technique.
31
  - **Metadata**: Information about the passages, including style markers and annotations related to the ELiTA technique.
32
 
33
  ### Using the Dataset
34
+ 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.
 
35
 
36
  ## Applications
 
37
  This dataset is ideal for:
38
  - Train and evaluate LLMs on understanding and generating stylized narrative text.
39
  - Research in AI ethics, focusing on developing self-aware AI systems.
40
  - Exploratory projects aiming to understand the impact of narrative styles on AI comprehension and generation.
41
 
42
  ## How to Use
 
43
  To get started with the `tamer-novel` dataset, please follow these steps:
44
 
45
  1. Install the aiflow python library (coming soon).
 
51
 
52
  3. Explore the dataset and start your project!
53
 
54
+ # Additional Information:
55
+ Use this link to read more about the model usage: https://github.com/yukiarimo/yuna-ai
 
56
 
57
  ELiTA Paper: https://www.academia.edu/116519117/ELiTA_Elevating_LLMs_Lingua_Thoughtful_Abilities_via_Grammarly
58
 
59
+ 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
60
+
61
+ ## Contributing and Feedback
62
+ You can contact the developer for more information or to contribute to the project!
63
 
64
+ - [Discord](https://discord.com/users/1131657390752800899)
65
+ - [Twitter](https://twitter.com/yukiarimo)
66
+
67
+ [![Patreon](https://img.shields.io/badge/Patreon-F96854?style=for-the-badge&logo=patreon&logoColor=white)](https://www.patreon.com/YukiArimo)
68
+ [![GitHub](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/yukiarimo)
69
+
70
+ ## Acknowledgments
71
+ 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.
72
+
73
+ ## Citation
74
  If you use the `tamer-novel` dataset in your research, please cite it as follows:
75
 
76
  ```bibtex
 
81
  publisher = {HuggingFace},
82
  journal = {HuggingFace Dataset Hub},
83
  }
84
+ ```