L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
arXiv (Cornell University) May 21, 2026 Angqi Li, Ab Basit Rafi Syed, Hamzeh Alzweri et al.
A new dataset, L-FAME, provides EEG recordings and psychological assessments from 74 healthy college participants who were randomly assigned to one of three meditation practices (two mantra-based techniques and one breath focus) and measured before and after a six-week training period. The dataset supports three benchmark tasks: distinguishing resting from meditation states, classifying which specific technique was used, and testing whether machine learning models can generalize across the two time points. Baseline results using classical and deep learning methods are reported, and the dataset, preprocessing code, and evaluation framework are publicly released to advance computational meditation research and EEG-based machine learning.