{"url":"/dataset/mutla","name":"MUTLA","full_name":null,"description_markdown":"This dataset includes time-synchronized multimodal data records of students (learning logs, videos, EEG brainwaves) as they work in various subjects from Squirrel AI Learning System (SAIL) to solve problems of varying difficulty levels. The dataset resources include user records from the learner records store of SAIL, brainwave data collected by EEG headset devices, and video data captured by web cameras while students worked in the SAIL products. \r\n\r\nSource: [MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics](/paper/mutla-a-large-scale-dataset-for-multimodal)","description_withheld":null,"homepage":"https://tinyurl.com/SAILdata","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/mutla-a-large-scale-dataset-for-multimodal","title":"MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics","first_author":"Fangli Xu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Electroencephalogram (EEG)","url":"/task/eeg","datasets_with_task":"/datasets/task/eeg"}],"languages":[],"variants":["MUTLA"],"data_loaders":[{"repo":"https://github.com/Archita-Shankar/dataset-MULTA","url":"https://github.com/Archita-Shankar/dataset-MULTA","frameworks":["tf","pytorch"]}],"num_papers_in_archive":2,"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."}