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README.md
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---
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pretty_name: AI Prompt & Conversation Dataset
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tags:
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- ai
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- prompt-dataset
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- conversation-dataset
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- llm
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- conversational-ai
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- human-ai-interaction
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- chat-data
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- instruction-following
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- natural-language-processing
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- multimodal-ai
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- machine-learning
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- json
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- text
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- image
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- pdf
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---
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# AI Prompt & Conversation Dataset
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## Overview
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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.
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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.
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The collection can support the development, evaluation, and research of Large Language Models (LLMs), conversational AI systems, prompt engineering techniques, and AI-powered applications.
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## Dataset Highlights
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- **Dataset Type:** AI prompts and conversations
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- **Primary Content:** User messages and AI assistant responses
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- **Organization:** Session-based conversation records
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- **Conversation Information:** Session identifiers, tags, summaries, and message counts
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- **Attachment Information:** Attachment identifiers, content types, file sizes, timestamps, and available image descriptions
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- **Media Types Observed:** Images, PDFs, and plain-text files
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- **Potential Applications:** LLM development, conversational AI, NLP, and AI system evaluation
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## Dataset Features
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- **Multi-session conversations:** Conversations are organized into individual sessions.
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- **User and assistant messages:** Contains exchanges between users and AI assistants.
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- **Session summaries:** Includes summaries describing user intent, discussion topics, decisions, and relevant details.
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- **Session metadata:** Includes identifiers, tags, version information, and message counts.
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- **Attachment records:** Provides information about files associated with conversations.
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- **Multimedia references:** Includes attachment content types and image descriptions where available.
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- **Conversation diversity:** Covers technical, educational, informational, research, and everyday assistance scenarios.
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## Conversation Coverage
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The sample workbook demonstrates conversations involving several categories:
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- Artificial Intelligence and Large Language Models
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- Software Development and Programming
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- Technical Troubleshooting
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- Education and Learning
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- Research and Academic Discussions
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- Business and Financial Topics
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- Product and Service Recommendations
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- Travel and General Information
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- Sports and Entertainment
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- Everyday Questions and Assistance
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## Dataset Structure
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The supplied Excel workbook contains two worksheets: `sessions` and `attachments`.
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### 1. Sessions
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The `sessions` worksheet contains conversation-level information and message content.
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| Field | Description |
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|---|---|
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| `session_id` | Identifier for a conversation session |
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| `session_tag` | Session title or topic label |
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| `session_summary` | Summary of the conversation |
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| `version_id` | Identifier associated with a conversation version |
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| `version_number` | Version number, where available |
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| `extracted_from` | Source or extraction information |
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| `message_count` | Number of messages in the session |
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| `messages` | Conversation messages and content |
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| `attachment_count` | Number of associated attachments |
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### 2. Attachments
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The `attachments` worksheet contains metadata about files associated with conversation sessions.
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| Field | Description |
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|---|---|
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| `session_id` | Identifier of the associated session |
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| `version_id` | Associated conversation version |
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| `attachment_id` | Unique attachment identifier |
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| `actual_content_type` | File content type or MIME type |
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| `size_bytes` | Attachment size in bytes |
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| `uploaded_at` | Attachment upload timestamp |
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| `vision_caption` | Image description, where available |
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## Supported Content and File Types
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The supplied sample workbook contains attachment records with the following content types:
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- **JPEG:** `image/jpeg`
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- **PNG:** `image/png`
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- **PDF:** `application/pdf`
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- **Plain Text:** `text/plain`
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The dataset also contains textual conversation content, including user prompts, assistant responses, and session summaries.
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## AI Tasks Supported
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The dataset may be useful for research and development involving:
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- Large Language Model (LLM) Development
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- Conversational AI Training
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- Prompt Engineering and Analysis
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- Human-AI Interaction Research
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- Natural Language Processing (NLP)
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- Instruction Following
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- Conversation Summarization
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- Intent and Topic Classification
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- Context-Aware Response Generation
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- Multimodal AI Research
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- AI Assistant Evaluation
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## Potential Applications
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- Training and evaluating conversational AI systems.
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- Developing AI-powered chatbots and virtual assistants.
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- Researching human-AI interaction patterns.
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- Studying prompt structures and conversation flows.
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- Developing conversation summarization systems.
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- Evaluating AI response generation and instruction-following capabilities.
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- Building systems that work with conversational and attachment metadata.
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- Researching multimodal conversational applications.
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## Industries and Research Areas
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Potential areas of application include:
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- Artificial Intelligence and Machine Learning
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- Generative AI
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- Enterprise AI Solutions
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- Software Development
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- Education Technology
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- Natural Language Processing
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- Conversational AI
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- Customer Support Automation
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- AI Research and Development
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- Digital Assistant Platforms
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## Intended Audience
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This dataset may be useful for:
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- AI and machine learning researchers
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- LLM developers
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- Generative AI companies
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- Conversational AI developers
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- NLP researchers
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- AI application developers
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- Enterprise AI teams
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- Academic institutions
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- Data scientists
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- AI evaluation and benchmarking teams
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## Dataset Statistics
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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.
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| Metric | Catalogue figure |
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|---|---:|
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| Sessions | 259,198 |
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| Messages | 13.4M |
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| Estimated Tokens | 2.75B |
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| Attachments | 607,049 |
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| Media Payload | 50.59 GB |
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| Reuse Events | 200,629 |
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### Sample Workbook Statistics
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The separately supplied `DEMOdata.xlsx` workbook contains:
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| Metric | Sample figure |
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|---|---:|
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| Conversation sessions | 52 |
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| Messages | 752 |
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| Attachment records | 27 |
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The sample attachment records include 18 JPEG files, 3 PNG files, 4 PDF files, and 2 plain-text files.
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## Advantages
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- Provides examples of multi-turn interactions between users and AI assistants.
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- Includes both conversation content and session-level metadata.
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- Offers summaries that help describe conversation context and user intent.
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- Includes attachment metadata for conversations involving additional files.
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- Supports research into different conversational topics and use cases.
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- Provides a basis for studying AI interaction patterns and conversational workflows.
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## Summary
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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.
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**Data Creation**
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Procured through formal agreements and generated in the ordinary course of business.
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**Considerations**
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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](https://infobay.ai/) or contact us directly.
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-Ph: +91 9236398619
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-Email: datareq@infobay.ai
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