AntEngage Empathy Conversation Dataset

AntEngage Empathy Conversation Dataset contains 4,008 AI-synthesized multi-turn English conversations (79,616 dialogue turns) for research in Conversational AI, NLP, Large Language Models, empathetic dialogue, and affective computing. Topics include empathy, grief, loneliness, caregiver burnout, workplace stress, and emotional support. The dataset contains no real user data or PII and is licensed under CC BY-SA 4.0.

About Dataset

The AntEngage Empathy Conversation Dataset is an open synthetic conversational dataset containing 4,008 multi turn English conversations and 79,616 dialogue turns. The dataset was developed by AntEngage Technology Private Limited for research and development in conversational artificial intelligence, natural language processing, large language models, empathetic dialogue systems, affective computing, and human AI interaction. The dataset contains AI synthesized conversations representing emotionally challenging situations and supportive conversational responses. Topics include grief, caregiver burnout, loneliness, emotional exhaustion, workplace stress, parenting challenges, social isolation, guilt, anger, emotional numbness, hospital and ICU waiting, and end of life conversations. The dataset was created as part of the AntEngage Language Model AELM initiative, which focuses on developing emotionally intelligent conversational AI for India and global applications. Dataset statistics include 4,008 conversations, 79,616 dialogue turns, an average of 19.9 turns per conversation, and a maximum of 20 turns per conversation. The primary language is English. The primary format is JSONL, with a CSV representation also available. The dataset was generated through a structured synthetic data generation pipeline consisting of domain sampling, scenario generation, multi turn dialogue generation, and automated quality verification. The verification process evaluates coherence, naturalness, diversity, and safety. The dataset can support conversational AI and large language model training, instruction tuning, empathetic dialogue generation, dialogue system evaluation, affective computing, and human AI interaction research. All conversations are AI synthesized. The dataset does not contain conversations collected from real users and does not contain personally identifiable information. It is intended for research, development, and educational purposes and is not intended to provide medical diagnosis, treatment, or professional mental health advice.

Purpose of Dataset

This dataset is intended to support research and development in conversational artificial intelligence natural language processing large language models empathetic dialogue systems affective computing and human AI interaction The dataset provides synthetic multi turn English conversations that can be used for model training instruction tuning dialogue generation evaluation benchmarking and research on empathetic and emotionally appropriate responses The dataset covers scenarios involving empathy grief loneliness caregiver burnout workplace stress parenting challenges emotional exhaustion and emotional support The dataset contains only AI generated conversations and does not contain real user data or personally identifiable information