HappyDB: a happiness database of 100,000 happy moments
HappyDB is a crowd-sourced collection of 100,000 happy moments designed to advance the understanding of happiness through text analysis. The database is publicly available and aims to support research in natural language processing (NLP) and positive psychology. It provides insights into the causes of happiness and suggests sustainable actions for improving well-being.
Giới Thiệu Chi Tiết
HappyDB is a valuable resource for researchers and developers working on NLP and positive psychology. The database contains 100,000 crowd-sourced happy moments, each described by individuals experiencing those moments. The goal is to understand how people express happiness in text and to develop systems that suggest actions leading to improved well-being. The dataset is cleaned and formatted for easy use in research and development.
ThêmNghiên cứu
DeepSeek-V3
DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.
Mix and Match Experimental Research Tools - University of Cambridge
Mix and Match are tools for experimental research, providing pseudorandomization and matching of experimental conditions.
UMD Department of Psychology
The Department of Psychology at the University of Maryland is committed to research, teaching, and mentorship, offering a broad field of study from micro to macro levels, and focusing on mind and behavior.