Publish pinned BCICIV-2a research shard
Browse filesUpload the verified consolidated CSV and provenance metadata; no per-patient duplicate shards.
- .gitattributes +1 -0
- BCICIV_2a_all_patients.csv +3 -0
- README.md +82 -0
- SOURCE.md +9 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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BCICIV_2a_all_patients.csv filter=lfs diff=lfs merge=lfs -text
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BCICIV_2a_all_patients.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa52c442278b63c9add50939b453f0668719ff1137dd596b5b1cac90fe3aa6cd
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size 214848010
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README.md
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---
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license: other
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language:
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- en
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- vi
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tags:
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- eeg
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- motor-imagery
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- bci
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- bciciv-2a
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pretty_name: BCICIV-2a EEG Motor Imagery
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size_categories:
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- 100M<n<1G
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---
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# BCICIV-2a EEG Motor Imagery
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## Provenance
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This repository contains one consolidated CSV shard derived from the local
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research copy identified as the Kaggle dataset
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[`aymanmostafa11/eeg-motor-imagery-bciciv-2a`](https://www.kaggle.com/datasets/aymanmostafa11/eeg-motor-imagery-bciciv-2a),
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which describes the BCI Competition IV 2a motor-imagery recordings associated
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with the Graz BCI laboratory. The uploader has represented that they have the
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right to redistribute this research copy. The repository owner must preserve
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any upstream attribution and terms that apply to the source dataset.
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This card does not assert a SPDX license. `license: other` is intentional until
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the upstream terms are independently mapped to a recognized license identifier.
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## Contents
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- `BCICIV_2a_all_patients.csv`
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- 2,448 epochs from 9 subject identities
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- 22 EEG channels per epoch
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- 201 samples per epoch at 250 Hz
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- labels: `left`, `right`, `foot`, `tongue`
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- identity fields: `patient` (subject) and `epoch` (session boundary)
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The CSV is a tabular, already-windowed representation. It must not be pooled
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with Brennan, D01, Chisco, D09, or SparrKULee.
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## Intended use
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Research and reproducibility testing for the THINKING EEG pipeline, including
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schema validation, checksum verification, leakage-safe subject/session splits,
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and controlled training experiments.
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## Limitations and safety
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- This dataset is not a clinical diagnostic resource.
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- The scientific gate for the current BCICIV-2a encoder is **false**; no
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deployability or scientific headline is claimed by this repository.
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- Do not infer identity beyond the explicit `patient` and `epoch` fields.
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- Do not use random epoch splits for scientific evaluation.
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- Consumers must verify the immutable catalog revision and shard SHA-256 before
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training.
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- The repository contains EEG-derived human-subject data. Users are responsible
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for complying with the source terms, applicable law, institutional review
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requirements, and any restrictions imposed by the data custodian.
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## Integrity
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Measured source shard:
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- bytes: `214848010`
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- SHA-256: `fa52c442278b63c9add50939b453f0668719ff1137dd596b5b1cac90fe3aa6cd`
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The GitHub catalog must pin the actual 40-character Hugging Face commit SHA;
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`main` and other moving revisions are not valid for scientific runs.
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## Citation and attribution
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Cite the original BCI Competition IV 2a dataset and the upstream Kaggle source
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when using this derived tabular copy. Do not represent this repository as the
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original competition distribution.
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## Release status
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`gate_pass: false` for the current scientific evaluation. This publication
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provides versioned data access only; it does not certify model quality or
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clinical/deployment readiness.
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SOURCE.md
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# Source and redistribution notice
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This dataset repository contains a consolidated CSV derived from the local research copy of the Kaggle dataset `aymanmostafa11/eeg-motor-imagery-bciciv-2a`, describing BCI Competition IV 2a motor-imagery recordings.
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The uploader has represented that they have the right to redistribute this research copy. Users must preserve upstream attribution and comply with the terms imposed by the original data custodian, applicable law, and institutional review requirements. This file is provenance metadata only; it is not a substitute for the original competition terms.
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The uploaded shard is `BCICIV_2a_all_patients.csv`. Measured bytes: `214848010`. Measured SHA-256: `fa52c442278b63c9add50939b453f0668719ff1137dd596b5b1cac90fe3aa6cd`.
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The scientific gate for the current THINKING EEG encoder remains false. This publication does not certify deployability, clinical use, or model accuracy.
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