Sahara AI Testnet SIWA
Промт для чата GPT:
Создай новый полностью готовый тестовый текстовый датасет, он должен быть качественным, чтобы этот датасет был полезен для ИИ, он должен быть структурированным, хорошо маркирован (если применимо), который можно использовать для обучения моделей обработки естественного языка. Также расширенный, больше примеров и дополнительных категорий. На Английском и в формате txt
Пример что он вам создаст:
Topic: User Query Classification for Natural Language Processing
This dataset is designed to help AI models understand user queries by classifying them according to various categories such as intent, sentiment, emotion, context, difficulty, and priority. The data can be used to train models in intent recognition, sentiment analysis, and context awareness.
Each line consists of the following fields (separated by a tab):
- id — A unique identifier for each query.
- text — The user query text.
- intent — The purpose of the query (e.g., information, request, complaint, feedback, recommendation, instruction, security_alert).
- sentiment — The overall tone (positive, neutral, negative).
- emotion — The expressed emotion (e.g., curious, anxious, frustrated, excited, happy, interested, satisfied, motivated, angry, hopeful).
- context — The domain or topic of the query (e.g., technology, e-commerce, customer_service, security, shopping, travel, gaming, billing, professional, user_account, website, subscription).
- difficulty — An estimation of how complex the query is (low, medium, high).
- priority — The urgency of the query (low, standard, high, urgent).
1 How do I update my profile information? instruction neutral curious user_account low standard 2 I forgot my password, can you help me reset it? request neutral anxious security high urgent 3 What are the benefits of the new software update? information positive interested technology medium standard 4 The latest update is causing my system to crash frequently. complaint negative frustrated technology high urgent 5 I love the new features added in the app update! feedback positive excited technology low low 6 Can you recommend some reliable VPN services? recommendation neutral curious technology medium standard 7 How do I track my order status online? information neutral curious e-commerce medium standard 8 My delivery is delayed and my order is damaged! complaint negative angry e-commerce high high 9 Where can I find good deals on running shoes? information neutral curious shopping medium standard 10 Thank you for the excellent customer support! feedback positive happy customer_service low low 11 The website layout is confusing; please improve it. complaint negative frustrated website medium urgent 12 How can I subscribe to the premium plan? request neutral interested subscription medium standard 13 What are the top travel destinations for this year? information positive curious travel medium standard 14 I need immediate help with my billing issue. request negative anxious billing high urgent 15 Could you recommend some popular science podcasts? recommendation neutral curious media low standard 16 The recent game update has ruined the gameplay. complaint negative angry gaming high high 17 How do I customize my notification settings? instruction neutral curious user_account low standard 18 I appreciate the prompt responses from your support team. feedback positive satisfied customer_service low low 19 Can you suggest some strategies to boost productivity? recommendation neutral motivated professional medium standard 20 My account was hacked, please secure it immediately! security_alert negative anxious security high urgent 21 How do I find the troubleshooting guide for my device? instruction neutral curious technology medium standard 22 What are the warranty terms for this product? information neutral analytical shopping medium standard 23 I received the wrong order, I want a refund now. complaint negative frustrated e-commerce high urgent 24 I enjoy using your app on my tablet! feedback positive happy technology low low 25 Is there a discount available for first-time buyers? information neutral hopeful shopping medium standard
Additional Categories Explained:
- Intent: Identifies the user’s purpose, such as asking for information, making a request, lodging a complaint, providing feedback, or seeking recommendations.
- Sentiment: Captures the tone of the query — whether it’s positive, neutral, or negative.
- Emotion: Describes the mood behind the query (for example, curious, anxious, frustrated, excited, or hopeful).
- Context: Indicates the domain or area related to the query (e.g., technology, e-commerce, customer service).
- Difficulty: Estimates how complex the query is (low, medium, or high).
- Priority: Defines how urgent the query response needs to be (low, standard, high, or urgent).
This dataset is designed to be flexible and can be easily expanded or modified for different applications. It can be used by developers to train natural language processing models, build intelligent chatbots, or implement automated query routing systems.
Вот пример такого что он вам создаст, вы копируете и вставляете в свой TXT файл и загружаете