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NLP Dialogue Dataset
Telecommunications & Network Data
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About
This dataset is a unique resource for Natural Language Processing (NLP) research, combining conversations between AI and humans that were extracted from online chat logs. Its purpose is to explore how human conversations can inform the development of conversational AI models, offering insights into connecting people with technology through meaningful dialogue. The dataset includes responses from AI systems, questions from humans, and outputs from popular models such as ChatGPT and Llama2-13b-Chat.
Columns
- system: Contains the AI system's response to a user's question, provided as text.
- question: Represents a question posed by a human user.
- chatgpt: Features the ChatGPT model's response to the user's question, also provided as text.
- llama2-13b-chat: Includes the Llama2-13b-Chat model's response to the user's question, available as text.
Distribution
The data is typically provided in a CSV file format, specifically the
train.csv file is part of this dataset. It contains conversations, with unique values for the system column totalling 12,552, for chatgpt at 12,440, and for llama2-13b-chat at 12,851.Usage
This dataset is ideal for:
- Developing and improving natural language processing algorithms for AI-human conversation.
- Building user-friendly chatbots that are better at recognising and understanding human intent by training models using this dataset.
- Designing recommendation systems to predict user questions and generate more accurate responses based on prior conversations.
- Exploring conversational techniques that enable natural language communication between humans and machines.
Coverage
The dataset's scope is global. While the specific time range of the included conversations is not detailed in the sources, the dataset was listed on 16th June 2025. It primarily covers interactions between AI systems and human users.
License
CCO
Who Can Use It
This dataset is intended for:
- Natural Language Processing (NLP) researchers seeking to understand and advance human-centric AI.
- Developers focused on building and refining conversational AI models and chatbots.
- Data scientists working on recommendation systems.
- Anyone interested in the development of meaningful dialogue between humans and technology.
Dataset Name Suggestions
- Orca DPO Dialogue Pairs
- AI Human Conversation Data
- Conversational AI Chat Logs
- NLP Dialogue Dataset
Attributes
Original Data Source: Orca DPO Dialogue Pairs
QUALITY