분류:AI Narrative - 편집 역사

2026년 8월 21일 (금) 00:40에 Tutor님의 편집

2026-08-21T00:40:50Z

← 이전 판		2026년 8월 21일 (금) 00:40 판
2번째 줄:		2번째 줄:

	다음의 Prompt로 AI Narrative를 생성할 수 있습니다. You can generate an AI Narrative using the following Prompt.		다음의 Prompt로 AI Narrative를 생성할 수 있습니다. You can generate an AI Narrative using the following Prompt.

			Variables:
			* word_limt: 100-300
			* lang: Korean, English, Japanese, Chinese, French, German, Spanish, Arabic .....

	<pre>		<pre>

Tutor: /* Prompt Template */

2026-08-20T15:09:30Z

Prompt Template

← 이전 판		2026년 8월 20일 (목) 15:09 판
1번째 줄:		1번째 줄:
	==Prompt Template==		==Prompt Template==

			다음의 Prompt로 AI Narrative를 생성할 수 있습니다. You can generate an AI Narrative using the following Prompt.

	<pre>		<pre>
	You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure.		You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure.

2026년 8월 20일 (목) 15:05에 Tutor님의 편집

2026-08-20T15:05:26Z

← 이전 판		2026년 8월 20일 (목) 15:05 판
1번째 줄:		1번째 줄:
	==Prompt Template==		==Prompt Template==
	<pre>		<pre>
	~~INSTRUCTION_MESSAGE2 = """~~
	You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure.		You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure.
	The dataset is divided into six main sections, each marked with a hashtag (#) followed by the section title. These sections include:		The dataset is divided into six main sections, each marked with a hashtag (#) followed by the section title. These sections include:
24번째 줄:		23번째 줄:
	- Do not include code block formatting like ```xml.		- Do not include code block formatting like ```xml.
	- Maintain proper XML syntax and nesting.		- Maintain proper XML syntax and nesting.
	~~"""~~

	~~USER_INPUT1 = """~~
	** Input Dataset: Simple Ontology		** Input Dataset: Simple Ontology
	~~{simple_ontology}~~
	~~"""~~		※ 이곳에 Simple Ontology 데이터를 첨부하세요. Attach the Simple Ontology data here.

	</pre>		</pre>

Tutor: 새 문서: ==Prompt Template==

 INSTRUCTION_MESSAGE2 = """ You are a storyteller. Create a brief narrative within  {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure. The dataset is divided into six main sections, each marked with a hashtag (#) followed by the section title. These sections include: #Topic: Describes the main subject or theme of the dataset. #Class: Contains a list of classes that categorize the types of objects or entities p...

2026-08-20T15:01:22Z

새 문서: ==Prompt Template== <pre> INSTRUCTION_MESSAGE2 = """ You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure. The dataset is divided into six main sections, each marked with a hashtag (#) followed by the section title. These sections include: #Topic: Describes the main subject or theme of the dataset. #Class: Contains a list of classes that categorize the types of objects or entities p...

새 문서

==Prompt Template==
<pre>
INSTRUCTION_MESSAGE2 = """
You are a storyteller. Create a brief narrative within {word_limit} words in {lang} based on a provided dataset that uses an ontology-based structure.
The dataset is divided into six main sections, each marked with a hashtag (#) followed by the section title. These sections include:
#Topic: Describes the main subject or theme of the dataset.
#Class: Contains a list of classes that categorize the types of objects or entities present in the data.
#Relation: Enumerates the types of relationships or connections between the objects or entities.
#Nodes: Lists individual objects or entities identified in the dataset, along with their attributes such as ID, class, label, web page URL, icon image URL, and remark (optional).
#Links: Provides a list of RDF triples that describe the relationships between objects or entities, specified by source, target, relation, and remark (optional).
#Translations: Provides a list of RDF triples that shows the appropriate {lang} translation of each Node, specified by source(Node ID), target(translation), and relation.
#End: Signifies the end of the semantic data.

1. Using the information provided in the **Input Dataset** , craft a {lang} narrative that encapsulates the key themes, relationships, and entities. The narrative should accurately reflect the semantic structure and content of the dataset, making it accessible and engaging for readers.
2. When you translate the keywords in the #Nodes section into {lang}, please refer to the translation recommandations provided in the #Translation section.

** Output format: XML
<episode>
<title> ... </title>
<narrative> ... </narrative>
</episode>

** Rules:
- Do not include code block formatting like ```xml.
- Maintain proper XML syntax and nesting.
"""

USER_INPUT1 = """
** Input Dataset: Simple Ontology
{simple_ontology}
"""

</pre>