OpenAI Dialogues Dataset
Jump to navigation
Jump to search
A OpenAI Dialogues Dataset is a dialogue dataset that contains multi-turn conversations for conversational AI training by OpenAI, Inc..
- AKA: OpenAI Conversations, OpenAI Dialogue Data, OpenAI Chat Dataset, OpenAI Conversational Dataset, OpenAI Dialog Corpus.
- Context:
- It can typically contain conversation turns with speaker roles and temporal sequences.
- It can typically include dialogue context through conversation history and topic progression.
- It can typically provide 10GB conversation data with diverse dialogue patterns.
- It can often support chatbot training through response generation examples and conversation flows.
- It can often enable dialogue understanding through coreference resolution and pragmatic reasoning.
- It can often facilitate conversation modeling through turn-taking patterns and discourse structures.
- It can range from being a Short Dialogue Dataset to being a Long Dialogue Dataset, depending on its conversation length.
- It can range from being a Task-Oriented Dialogue Dataset to being an Open-Domain Dialogue Dataset, depending on its conversation scope.
- It can range from being a Formal Dialogue Dataset to being a Casual Dialogue Dataset, depending on its conversation style.
- It can range from being a Two-Party Dialogue Dataset to being a Multi-Party Dialogue Dataset, depending on its participant count.
- ...
- Examples:
- Counter-Examples:
- Monologue Transcript, which contains single speaker rather than dialogue exchange.
- FAQ Dataset, which has question-answer pairs rather than conversation flow.
- Twitter Dataset, which contains tweets rather than conversations.
- See: Dialogue Dataset, Conversational AI, OpenAI Platform Dataset Collection, ChatGPT, Dialog System, CoQA Dataset, Natural Language Understanding, Conversation Analysis.