Cover Image

MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jia, Wei, Tianyi, Hou, Bojian, Orzechowski, Patryk, Yang, Shu, Jin, Ruochen, Paulbeck, Rachael, Wagenaar, Joost, Demiris, George, Shen, Li
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Computers and Society Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clustering Alzheimer's Disease Subtypes via Similarity Learning and Graph Diffusion
by: Wei, Tianyi, et al.
Published: (2024)

MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations
by: Wang, Yuxin, et al.
Published: (2024)

LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback
by: Kim, Jiwon, et al.
Published: (2026)

PsyChat: A Client-Centric Dialogue System for Mental Health Support
by: Qiu, Huachuan, et al.
Published: (2023)

Mentalic Net: Development of RAG-based Conversational AI and Evaluation Framework for Mental Health Support
by: Dutta, Anandi, et al.
Published: (2025)

Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond
by: Goldblum, Zack, et al.
Published: (2024)

A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
by: Hasan, Khalid, et al.
Published: (2026)

An AI-Based Behavioral Health Safety Filter and Dataset for Identifying Mental Health Crises in Text-Based Conversations
by: Nelson, Benjamin W., et al.
Published: (2025)

SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support
by: Qiu, Huachuan, et al.
Published: (2023)

Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation
by: Mazhar, Abdullah, et al.
Published: (2026)

A Semantic-Sampling Framework for Evaluating Calibration in Open-Ended Question Answering
by: Wang, Zhanliang, et al.
Published: (2026)

EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
by: Kasu, Sai Kartheek Reddy
Published: (2025)

Beyond Simulations: What 20,000 Real Conversations Reveal About Mental Health AI Safety
by: Stamatis, Caitlin A., et al.
Published: (2026)

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
by: Badawi, Abeer, et al.
Published: (2025)

Position: Beyond Assistance -- Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
by: Badawi, Abeer, et al.
Published: (2025)

Seeking Late Night Life Lines: Experiences of Conversational AI Use in Mental Health Crisis
by: Ajmani, Leah Hope, et al.
Published: (2025)

Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
by: Chandra, Mohit, et al.
Published: (2025)

Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling
by: Chen, Keqi, et al.
Published: (2025)

CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
by: Zhang, Ruochen, et al.
Published: (2023)

From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
by: Aghakhani, Elham, et al.
Published: (2025)

A Study about Distribution and Acceptance of Conversational Agents for Mental Health in Germany: Keep the Human in the Loop?
by: Lukas, Christina
Published: (2025)

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
by: Adhikary, Prottay Kumar, et al.
Published: (2024)

A Comprehensive Review of Datasets for Clinical Mental Health AI Systems
by: Mandal, Aishik, et al.
Published: (2025)

CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic
by: Mankarious, Saad, et al.
Published: (2025)

ShareChat: A Dataset of Chatbot Conversations in the Wild
by: Yan, Yueru, et al.
Published: (2025)

Employing Social Media to Improve Mental Health Outcomes
by: De Choudhury, Munmun
Published: (2025)

AI-Powered Early Diagnosis of Mental Health Disorders from Real-World Clinical Conversations
by: Zhu, Jianfeng, et al.
Published: (2025)

"I've talked to ChatGPT about my issues last night.": Examining Mental Health Conversations with Large Language Models through Reddit Analysis
by: Jung, Kyuha, et al.
Published: (2025)

AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment
by: Hu, Jinpeng, et al.
Published: (2025)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
by: A, Vimaleswar, et al.
Published: (2025)

A Comparative Analysis of Peer Support in Forum-based and Chat-based Mental Health Communities: Technical-Structural-Functional Model of Social Support
by: Li, Han
Published: (2026)

Detecting Conversational Mental Manipulation with Intent-Aware Prompting
by: Ma, Jiayuan, et al.
Published: (2024)

MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
by: Yin, Congchi, et al.
Published: (2024)

Barriers to Digital Mental Health Services among College Students
by: Cho, Ha Na, et al.
Published: (2025)

Measuring the Mental Health of Content Reviewers, a Systematic Review
by: Gonzalez, Alexandra, et al.
Published: (2025)

Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research
by: Mancini, Eleonora, et al.
Published: (2024)

Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of Large Language Models for Psychological Support
by: Moell, Birger
Published: (2024)

MHDash: An Online Platform for Benchmarking Mental Health-Aware AI Assistants
by: Zhang, Yihe, et al.
Published: (2026)

Towards Understanding Emotions for Engaged Mental Health Conversations
by: Sim, Kellie Yu Hui, et al.
Published: (2024)

Between Help and Harm: An Evaluation of Mental Health Crisis Handling by LLMs
by: Arnaiz-Rodriguez, Adrian, et al.
Published: (2025)