The ToMCAT Dataset

Welcome to the ToMCAT dataset!

The dataset is served directly from a PostgreSQL database. You can browse the tables, apply filters and facets, or write your own read-only SQL in the query console. Queries that run longer than 10 seconds are aborted to keep the site responsive; for heavy or whole-dataset work, download the entire database and run it locally.

Explore the interactive schema diagram to see the tables and the relationships between them.

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Citation

If you use this dataset, please cite our NeurIPS 2023 paper that introduces the dataset.

BibTeX Format

@inproceedings{
    pyarelal2023the,
    title={The To{MCAT} Dataset},
    author={Adarsh Pyarelal and Eric Duong and Caleb Jones Shibu and Paulo Soares
        and Savannah Boyd and Payal Khosla and Valeria Pfeifer and Diheng Zhang
        and Eric S Andrews and Rick Champlin and Vincent Paul Raymond
        and Meghavarshini Krishnaswamy and Clayton Morrison and Emily Butler
        and Kobus Barnard},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    year={2023},
    url={https://openreview.net/forum?id=ZJWQfgXQb6}
}

APA Format

Adarsh Pyarelal, Eric Duong, Caleb Jones Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria Pfeifer, Diheng Zhang, Eric S Andrews, Rick Champlin, Vincent Paul Raymond, Meghavarshini Krishnaswamy, Clayton Morrison, Emily Butler, & Kobus Barnard (2023). The ToMCAT Dataset. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track.

tomcat

464,798,300 rows (estimated) in 24 tables.

affective_task_event, audio_vocalics, data_validity, eeg_device, eeg_raw, eeg_sync, ekg_sync, finger_tapping_task_observation, fnirs_raw, fnirs_sync, gaze_raw, group_session, gsr_sync, minecraft_mission, minecraft_testbed_message, modality, participant, ping_pong_competitive_task_observation, ping_pong_cooperative_task_observation, post_game_survey, rest_state_task, screen_capture, station, task

Funding Acknowledgment

• The creation of this dataset was funded by the Army Research Office and was accomplished under Grant Number W911NF-20-1-0002. The grant was awarded through the Defense Advanced Research Projects Agency (DARPA).
• We would also like to acknowledge intramural seed funding from the University of Arizona's SensorLab.
• Continued support (documentation updates, replying to questions from dataset users, etc.) is supported by Army Research Office (ARO) Award Number W911NF-24-2-0034.