Stars
企业微信机器人接收消息的回调服务框架，pip 安装，开箱即用，实现两个函数即可部署服务
Python Wechaty is a Conversational RPA SDK for Chatbot Makers written in Python
一款安全稳定的Android无障碍服务工具，支持控制企微/微信来运行的无人值守群管理企业微信机器人
🤖 Robotic process automation (RPA) for WeChat, WeCom, etc. Support multiple clients and keep the computer unlocked when disconnect from the remote desktop.
The official repository of ACL2023 paper: Understanding Client Reactions in Online Mental Health Counseling
Data and codes for ACL 2021 paper: Towards Emotional Support Dialog Systems
Multimodal Home Activity Dataset with Multi-Angle Videos and Synchronized Physiological Signals
Data for the paper "ElderReact: A Multimodal Dataset for Recognizing Emotional Response in Aging Adults" (ICMI 2019)
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. ACL 2022
A tool for translating JSON files from English to Chinese using Baidu And Google Translate API
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI | 中文个性情感对话数据集
The code of the paper: Chat4Seniors: Personalized Preference Optimization for Large Language Models in Elder Care Scenarios
CareCall for Seniors: Role Specified Open-Domain Dialogue dataset generated by leveraging LLMs (NAACL 2022).
This github repository includes the information about the ChiMST Corpus, which is based on our previous work ChiMed
Chinese medical dialogue data 中文医疗对话数据集
[WWW-2025] ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
[Findings of EMNLP 2023] Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate
[NeurIPS'22] EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
Biomedical Question Answering Datasets.
Measuring Massive Multitask Language Understanding | ICLR 2021
PubMedQA: A Dataset for Biomedical Research Question Answering
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
Projects from AI for Healthcare Nanodegree Program of Udacity