ROAMM
# ROAMM: Reading Observed At Mindless Moments **ROAMM** is a large-scale multimodal dataset featuring simultaneous **EEG and eye-tracking** data collected during naturalistic reading with **span-level mind-wandering annotations**. ROAMM provides a benchmark dataset for MW detection and EEG-to-text decoding tasks, and enables the study of attention-related degradation in language decoding from brain activity in naturalistic reading. ## Dataset Status * **Raw EEG (BIDS):** **Work in Progress.**
- Participants
- 1
- Size
- 224 MB
- Updated
- Jun 6, 2026