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Dialogue Emotion Dataset
Social Media and Networking
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Free
About
This dataset consists of 25,000 conversations centred on emotional situations, designed to aid in the training and evaluation of dialogue systems. It addresses the significant challenge for AI systems in recognising and appropriately responding to human emotions in conversation. By providing a novel benchmark for empathetic dialogue generation, this resource facilitates the development of AI models that are perceived as more empathetic by human evaluators, improving conversational AI's key communicative skills.
Columns
- id: Unique identifier for each entry.
- Situation: Description of the emotional context or scenario for the chat.
- emotion: The primary emotion associated with the chat.
- empathetic_dialogues: The actual dialogues exchanged between a customer and an agent.
- labels: The agent's specific answer or response to the customer.
Distribution
The dataset contains 25,000 conversations. Data files are typically provided in CSV format. Specific numbers for individual rows or records within the conversations are not explicitly detailed, but the collection comprises a substantial volume of dialogue exchanges.
Usage
This dataset is ideal for a variety of applications, including:
- Training and evaluating advanced dialogue systems.
- Developing conversational AI agents with enhanced emotional intelligence.
- Conducting research into empathetic dialogue generation.
- Improving natural language processing (NLP) models to better understand and respond to emotional cues.
Coverage
The dataset's scope is global. While a specific time range for the collection of the underlying data is not provided, the dataset was listed on 5 June 2025, indicating its recent availability. There are no specific demographic notes on data availability.
License
CC-BY-SA
Who Can Use It
This dataset is intended for:
- AI Researchers and Developers: For building and refining emotional AI and dialogue systems.
- NLP Engineers: For training models to recognise and generate empathetic text.
- Academics: For studies on human-computer interaction and emotional intelligence in AI.
- Data Scientists: For exploring patterns in conversational data and emotional responses.
Dataset Name Suggestions
- Empathetic Dialogues (Facebook AI) 25k
- Emotional Conversation Dataset
- AI Empathy Training Data
- Conversational Empathy Benchmark
- Dialogue Emotion Dataset
Attributes
Original Data Source: Empathetic Dialogues (Facebook AI) 25k
QUALITY