{"url":"/dataset/areeg-chars","name":"ArEEG_Chars","full_name":null,"description_markdown":"ArEEG_Chars, the first EEG dataset for Arabic characters, consists of high-quality recordings for 31 unique characters from 30 participants (21 males and 9 females) using the Epoc X 14-channel device. Each participant was asked to focus on all Arabic letters for 10-second segments each.  \r\nEach Folder is named after the letter and it contains 30 CSV file of wave records.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/f2bgr7tdtt/1","introduced_date":"2024-02-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/areeg-chars-dataset-for-envisioned-speech","title":"ArEEG_Chars: Dataset for Envisioned Speech Recognition using EEG for Arabic Characters","first_author":"Hazem Darwish","url":null},"license":null,"modalities":[],"tasks":[],"languages":[{"name":"Arabic","url":"/datasets/language/arabic"}],"variants":["ArEEG_Chars"],"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":"2026-09-25T09:33:49+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."}