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README.md

@@ -14,13 +14,18 @@ Processed HDF5 export of the [EESM23 OpenNeuro dataset](https://doi.org/10.18112
 
 ## Preprocessing
 
-Generated with `Ear-EEG-FM-Benchmark/dataset/preprocess_eesm23.py` using schema/eegfm version `0.4.0`:
+Generated with `Ear-EEG-FM-Benchmark/dataset/preprocess_eesm23.py` using schema/eegfm version `0.5.0`:
 
 - 0.1–100 Hz band-pass and 50 Hz notch filtering on each continuous recording
 - no re-referencing, resampling, or channel renaming
 - each labeled 30-second AASM scoring event is split into seven non-overlapping 4-second windows; the final 2 seconds are unused
 - classes: `Wake`, `N1`, `N2`, `N3`, `REM`; `Artefact` events are dropped
-- windows containing non-finite samples are dropped
+- real sensor/data-loss NaN/Inf samples are preserved and recorded in overall
+  and per-channel quality fields
+- the ear-EEG and scalp outputs are strictly row-aligned; a session is excluded
+  from both when either modality is missing/unreadable, and a window is retained
+  only when it exists in both modalities
+- recording bounds are checked separately for every 4-second window
 - all signal values are stored as `float32` microvolts at 250 Hz
 
 Brief device data-loss gaps are interpolated before filtering to prevent FIR-kernel contamination, after which the original NaN positions are restored before window selection.
@@ -29,27 +34,43 @@ Brief device data-loss gaps are interpolated before filtering to prevent FIR-ker
 
 | File | Channels | Shape `(N, C, T)` | Size |
 |---|---|---:|---:|
-| `eesm23-in-ear-eeg.h5` | RB, RT, LB, LT | `(111594, 4, 1000)` | 1.70 GiB |
-| `eesm23-scalp-eeg.h5` | M1, F3, C3, O1, M2, F4, C4, O2 | `(95339, 8, 1000)` | 2.88 GiB |
+| `eesm23-in-ear-eeg.h5` | RB, RT, LB, LT | `(108673, 4, 1000)` | 1.66 GiB |
+| `eesm23-scalp-eeg.h5` | M1, F3, C3, O1, M2, F4, C4, O2 | `(108673, 8, 1000)` | 3.28 GiB |
 
 Label distribution:
 
-| Modality | Wake | N1 | N2 | N3 | REM |
-|---|---:|---:|---:|---:|---:|
-| in-ear | 9,725 | 9,268 | 52,746 | 17,983 | 21,872 |
-| scalp | 8,203 | 7,898 | 45,010 | 15,645 | 18,583 |
+| Wake | N1 | N2 | N3 | REM |
+|---:|---:|---:|---:|---:|
+| 9,631 | 9,044 | 51,302 | 17,458 | 21,238 |
 
-Source-data notes:
+## Retained and discarded windows
 
-- `sub-006/ses-002` PSG is skipped because the source `.set` file is truncated and cannot be read.
-- `sub-002/ses-001` and `sub-007/ses-002` PSG yield no windows after the non-finite-sample quality rule.
+The source scoring files define 119,518 potential 4-second windows, of which
+115,906 carry one of the five retained sleep-stage labels and 3,612 are labeled
+`Artefact`. The final files contain 108,673 strictly paired windows per
+modality. The exclusions are:
 
-## HDF5 schema (v0.4)
+| Reason | Windows |
+|---|---:|
+| `Artefact` label (outside the five-class task) | 3,612 |
+| Entire `sub-006/ses-002` pair: truncated/unreadable PSG | 7,217 |
+| `sub-002/ses-001`: PSG window has no in-bounds ear-EEG partner | 15 |
+| `sub-010/ses-002`: PSG window has no in-bounds ear-EEG partner | 1 |
+| **Total excluded, including `Artefact`** | **10,845** |
+
+Among the five-class candidates, 7,233 windows are excluded by recording
+availability or strict pairing. No window is excluded because it contains
+NaN/Inf. The final files retain 3,491 in-ear windows and 13,328 scalp windows
+with at least one non-finite sample; their indices remain paired even when
+quality differs between modalities.
+
+## HDF5 schema (v0.5)
 
 ```text
 /data                 (N, C, 1000) float32
 /durations            (N,)         int64
 /nan_fraction         (N,)         float32
+/channel_nan_fraction (N, C)       float32
 /labels               (N,)         int64
 /sample_id            (N,)         int64
 /subject              (N,)         string

eesm23-in-ear-eeg.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9fc0b2b7d97a3f6248a1cccea67043095f8e98ae4388b60097b527e45890f193
-size 1828928328
+oid sha256:2112ee1ec836b00206c9554afb899d4d1d790687a56ce4f0383e0f44a168cb49
+size 1782963240

eesm23-scalp-eeg.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34de1fc13780a9de42cb1079137785a686c6f997db2c1dc64e1f927c33076396
-size 3088115976
+oid sha256:380c18555fcbbe016aa74a0cca557a2e75bf65013037144303e018e345d947f5
+size 3523484392