InfoBayAI/AI_Prompt_and_Conversation_Dataset

AI Prompt & Conversation Dataset

Overview

The AI Prompt & Conversation Dataset is a collection of user prompts and AI-generated conversations designed to represent interactions between people and AI assistants across a variety of topics and use cases.

The dataset contains conversation sessions with user messages, assistant responses, session-level summaries, and associated attachment records. It captures different types of interactions, including informational queries, technical discussions, educational questions, research-related conversations, recommendations, troubleshooting, and everyday assistance.

The collection can support the development, evaluation, and research of Large Language Models (LLMs), conversational AI systems, prompt engineering techniques, and AI-powered applications.

Dataset Highlights

• Dataset Type: AI prompts and conversations
• Primary Content: User messages and AI assistant responses
• Organization: Session-based conversation records
• Conversation Information: Session identifiers, tags, summaries, and message counts
• Attachment Information: Attachment identifiers, content types, file sizes, timestamps, and available image descriptions
• Media Types Observed: Images, PDFs, and plain-text files
• Potential Applications: LLM development, conversational AI, NLP, and AI system evaluation

Dataset Features

• Multi-session conversations: Conversations are organized into individual sessions.
• User and assistant messages: Contains exchanges between users and AI assistants.
• Session summaries: Includes summaries describing user intent, discussion topics, decisions, and relevant details.
• Session metadata: Includes identifiers, tags, version information, and message counts.
• Attachment records: Provides information about files associated with conversations.
• Multimedia references: Includes attachment content types and image descriptions where available.
• Conversation diversity: Covers technical, educational, informational, research, and everyday assistance scenarios.

Conversation Coverage

The sample workbook demonstrates conversations involving several categories:

• Artificial Intelligence and Large Language Models
• Software Development and Programming
• Technical Troubleshooting
• Education and Learning
• Research and Academic Discussions
• Business and Financial Topics
• Product and Service Recommendations
• Travel and General Information
• Sports and Entertainment
• Everyday Questions and Assistance

Dataset Structure

The supplied Excel workbook contains two worksheets: sessions and attachments.

1. Sessions

The sessions worksheet contains conversation-level information and message content.

Field	Description
session_id	Identifier for a conversation session
session_tag	Session title or topic label
session_summary	Summary of the conversation
version_id	Identifier associated with a conversation version
version_number	Version number, where available
extracted_from	Source or extraction information
message_count	Number of messages in the session
messages	Conversation messages and content
attachment_count	Number of associated attachments

2. Attachments

The attachments worksheet contains metadata about files associated with conversation sessions.

Field	Description
session_id	Identifier of the associated session
version_id	Associated conversation version
attachment_id	Unique attachment identifier
actual_content_type	File content type or MIME type
size_bytes	Attachment size in bytes
uploaded_at	Attachment upload timestamp
vision_caption	Image description, where available

Supported Content and File Types

The supplied sample workbook contains attachment records with the following content types:

• JPEG: image/jpeg
• PNG: image/png
• PDF: application/pdf
• Plain Text: text/plain

The dataset also contains textual conversation content, including user prompts, assistant responses, and session summaries.

AI Tasks Supported

The dataset may be useful for research and development involving:

• Large Language Model (LLM) Development
• Conversational AI Training
• Prompt Engineering and Analysis
• Human-AI Interaction Research
• Natural Language Processing (NLP)
• Instruction Following
• Conversation Summarization
• Intent and Topic Classification
• Context-Aware Response Generation
• Multimodal AI Research
• AI Assistant Evaluation

Potential Applications

• Training and evaluating conversational AI systems.
• Developing AI-powered chatbots and virtual assistants.
• Researching human-AI interaction patterns.
• Studying prompt structures and conversation flows.
• Developing conversation summarization systems.
• Evaluating AI response generation and instruction-following capabilities.
• Building systems that work with conversational and attachment metadata.
• Researching multimodal conversational applications.

Industries and Research Areas

Potential areas of application include:

• Artificial Intelligence and Machine Learning
• Generative AI
• Enterprise AI Solutions
• Software Development
• Education Technology
• Natural Language Processing
• Conversational AI
• Customer Support Automation
• AI Research and Development
• Digital Assistant Platforms

Intended Audience

This dataset may be useful for:

• AI and machine learning researchers
• LLM developers
• Generative AI companies
• Conversational AI developers
• NLP researchers
• AI application developers
• Enterprise AI teams
• Academic institutions
• Data scientists
• AI evaluation and benchmarking teams

Dataset Statistics

The following figures are taken from the supplied AI Prompt & Conversation Datasets Catalog screenshot. They represent catalogue-level statistics and should not be interpreted as counts from the sample Excel workbook alone.

Metric	Catalogue figure
Sessions	259,198
Messages	13.4M
Estimated Tokens	2.75B
Attachments	607,049
Media Payload	50.59 GB
Reuse Events	200,629

Sample Workbook Statistics

The separately supplied DEMOdata.xlsx workbook contains:

Metric	Sample figure
Conversation sessions	52
Messages	752
Attachment records	27

The sample attachment records include 18 JPEG files, 3 PNG files, 4 PDF files, and 2 plain-text files.

Advantages

• Provides examples of multi-turn interactions between users and AI assistants.
• Includes both conversation content and session-level metadata.
• Offers summaries that help describe conversation context and user intent.
• Includes attachment metadata for conversations involving additional files.
• Supports research into different conversational topics and use cases.
• Provides a basis for studying AI interaction patterns and conversational workflows.

Summary

The AI Prompt & Conversation Dataset provides a collection of AI-user interactions organized into conversation sessions, with message content, session summaries, metadata, and associated attachment information. With catalogue-level figures reporting 259,198 sessions, 13.4 million messages, and 2.75 billion estimated tokens, the collection may be valuable for LLM research, conversational AI development, prompt analysis, and human-AI interaction studies.

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.

-Ph: +91 9236398619
-Email: datareq@infobay.ai