Download protocols/arithmetic-rest.json from Twu31/bci-report: direct link, hf CLI and curl.
- Browser
- Download file 4.49 kB
-
https://huggingface.co/datasets/Twu31/bci-report/resolve/main/protocols/arithmetic-rest.json
- Command line
-
hf download hf://datasets/Twu31/bci-report/protocols/arithmetic-rest.json
-
curl -L -o arithmetic-rest.json https://huggingface.co/datasets/Twu31/bci-report/resolve/main/protocols/arithmetic-rest.json
4.49 kB
| { | |
| "id": "arithmetic-rest", | |
| "title": "Arithmetic & rest", | |
| "short": "Transfer to a new person", | |
| "dataset": "EEGMAT", | |
| "subtitle": "Serial subtraction versus resting EEG", | |
| "type": "accuracy", | |
| "subjects": 36, | |
| "observations": "2,160 epochs · 5 participant-disjoint folds", | |
| "exposure": "19 channels · 2-second windows", | |
| "status": "Research preview", | |
| "xLabel": "Macro F1", | |
| "yLabel": "Balanced accuracy", | |
| "limitation": "Thirty nonoverlapping 2-second windows from each of two conditions per person. Published signals were already cleaned with ICA; task performance groups are not evaluated.", | |
| "protocol": [ | |
| "5 participant-disjoint folds. All recordings from a person stay together. Each person contributes to the held-out predictions once.", | |
| "First 60 s of each recording; 30 contiguous nonoverlapping 2 s windows; exclude A2-A1 ear-difference and ECG; EDF physical volts converted to microvolts; subtract each channel's window mean; no rejection, filtering, resampling, or learned preprocessing.", | |
| "One fixed seed (20260919); no early stopping or test-based tuning. EEGNet trains for 20 epochs per fold. Frozen encoders use training-only standardized ridge heads (alpha 100).", | |
| "Labels: pre-task-rest, mental-arithmetic.", | |
| "Uniform-guessing reference: 50.00%. Scores weight participants equally. Intervals describe participant variation; cross-validation training sets overlap.", | |
| "The benchmark detects condition (rest versus serial subtraction), not the good/bad count-quality participant grouping.", | |
| "Only the first documented 60 seconds is retained even though EDF containers are longer.", | |
| "The source README reports prior ICA artifact removal, so these are not untouched acquisition signals.", | |
| "Open Data Commons Attribution License v1.0 applies; retain PhysioNet attribution.", | |
| "EEGNet three-seed mean 67.52%; sample SD 0.14 percentage points; range 67.36–67.64%. Main table retains the original fixed seed; this is not a confidence interval." | |
| ], | |
| "protocolId": "parallel-fixed-subject-folds-v1/physionet-eegmat-1.0.0", | |
| "version": "PhysioNet EEG During Mental Arithmetic Tasks 1.0.0 · 1.0.0", | |
| "elapsed": 126.49400083348155, | |
| "peakGb": null, | |
| "auditSha": "2d0e4cec78c8d6e5bfc9f5390ba161f4308759e02feffbb8645d6983d9093292", | |
| "source": "https://physionet.org/content/eegmat/1.0.0/", | |
| "backend": "Apple M5 / MPS", | |
| "chanceLevel": 50.0, | |
| "selection": "EEGNet three-seed mean 67.52%; sample SD 0.14 percentage points; range 67.36–67.64%. Main table retains the original fixed seed; this is not a confidence interval.", | |
| "summarySha": "ab607e749da1eedcf88441c5b6fd0db55e2ebae0bbd91d6d18e508605eef625b", | |
| "protocolSha": "5d53ccbd5a00763908162f0b700c0a3236e0d4f9d43b08e42ee31a2ef01aefbf", | |
| "license": "Open Data Commons Attribution License 1.0", | |
| "licenseUrl": "https://opendatacommons.org/licenses/by/1-0/", | |
| "attribution": "Igor Zyma, Ivan Seleznov, Anton Popov, Mariia Chernykh, Oleksii Shpenkov · EEG During Mental Arithmetic Tasks 1.0.0, PhysioNet, doi:10.13026/C2JQ1P. Study: Zyma et al. (2019), doi:10.3390/data4010014. PhysioNet platform: Pollard et al. (2026), doi:10.1038/s44360-026-00096-z.", | |
| "privacyReview": "Paper reports Bioethics Commission approval (15 August 2018) and written consent from every participant. EDF dates are normalized, but subject-info.csv contains age, gender, occupation, and recording date; those fields must not be published.", | |
| "reviewedAt": "2026-09-20", | |
| "reviewBasis": [ | |
| "https://physionet.org/content/eegmat/1.0.0/", | |
| "https://www.mdpi.com/2306-5729/4/1/14", | |
| "https://opendatacommons.org/licenses/by/1-0/" | |
| ], | |
| "rightsScope": "Personal noncommercial research; aggregate results only", | |
| "pretrainingOverlap": "Unknown unless explicitly documented; no unseen-pretraining claim.", | |
| "seedSensitivity": { | |
| "model": "EEGNet", | |
| "seeds": [ | |
| 20260919, | |
| 20260920, | |
| 20260921 | |
| ], | |
| "balancedAccuracyPercent": [ | |
| 67.63888888888889, | |
| 67.5462962962963, | |
| 67.3611111111111 | |
| ], | |
| "meanPercent": 67.51543209876543, | |
| "sampleSdPercentagePoints": 0.1414375214492599, | |
| "rangePercentagePoints": 0.2777777777777857, | |
| "auditSha": "17b31f77610fcb5f034eb013774b5f796b96b3f393ec763351f1c4c290e5c194", | |
| "scope": "Same participants, folds, preprocessing and 20-epoch budget. Three seeds measure initialization variability, not population uncertainty. Main table retains its preselected seed; no best-seed selection." | |
| } | |
| } | |