{"url":"/dataset/areeg-words","name":"ArEEG_Words","full_name":null,"description_markdown":"ArEEG_Words dataset is a novel EEG dataset recorded from 22 participants with mean age of 22 years (5 female, 17 male) using a 14-channel Emotiv Epoc X device. The participants were asked to be free from any effects on their nervous system, such as coffee, alcohol, cigarettes, and so 8 hours before recording. They were asked to stay calm in a clam room during imagining one of the 16 Arabic Words for 10 seconds. The words include 16 commonly used words such as up, down, left, and right. A total of 352 EEG recordings were collected, then each recording was divided into multiple 250ms signals, resulting in a total of 15,360 EEG signals.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/7m472ykkx7/1","introduced_date":"2024-11-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/areeg-words-dataset-for-envisioned-speech","title":"ArEEG_Words: Dataset for Envisioned Speech Recognition using EEG for Arabic Words","first_author":"Hazem Darwish","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["ArEEG_Words"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}