Update README: document train/val split (336 + 80)

README.md

@@ -19,38 +19,65 @@ pretty_name: MUniverse Dynamic EMG Benchmark v2
 
 # MUniverse Dynamic EMG Benchmark v2
 
-**336 synthetic non-stationary surface EMG recordings** for benchmarking motor-unit decomposition algorithms under dynamic joint motion. 21 motor-unit pool combinations (26–113 MUs) × 5 simulated subjects × 7 forearm muscles × 8 conditions (sinusoidal/triangular wrist Flexion–Extension at two amplitudes × two SNR levels), at 70-ch and 320-ch electrode configurations.
+**416 synthetic non-stationary surface EMG recordings** for benchmarking motor-unit decomposition algorithms under dynamic joint motion. Split into **336 train** (subjects 0–4, 21 MU pools) and **80 held-out val** (subjects 5–9, 5 MU pools) — different simulated subjects, so the val set is a clean generalisation test.
+
+Both splits share the same 8 conditions (sinusoidal/triangular wrist Flexion–Extension at two amplitudes × two SNR levels) and ship at 70-ch and 320-ch electrode configurations.
 
 ## Files
 
 | File | Size | Purpose |
 |---|---|---|
-| `recordings.tar.gz` | 4.7 GB | The 336 `.npz` recordings (`benchmark_v2/{ch070,ch320}/`) |
+| `recordings.tar.gz` | 4.7 GB | **Train**: 336 `.npz` recordings, subjects 0–4, 21 MU pools (`benchmark_v2/{ch070,ch320}/`) |
+| `recordings_val.tar.gz` | 1.2 GB | **Val**: 80 `.npz` recordings, subjects 5–9, 5 MU pools (`benchmark_v2_val/{ch070,ch320}/`) |
 | `reproducibility_bundle.zip` | 36 KB | Scripts, manifests, NeuroMotion patch, PBS templates |
 | `benchmark_spec.json` | 7 KB | Declarative spec: subjects, muscles, conditions, combos |
-| `README.md` | 8 KB | This page (also inside the bundle, as the canonical reproduction guide) |
+| `README.md` | this page | (also inside the bundle, as the canonical reproduction guide) |
 
 SHA256:
 - `recordings.tar.gz`: `715458efd70ca8932e1e45a642698fa11a4446e0352dbe1840e0a7e251544f56`
+- `recordings_val.tar.gz`: `e4a14c291f4087a90ee10a376b57c359e3507ba4cdd68bb94b6f7b9aa6cc3756`
 - `reproducibility_bundle.zip`: `f4e034726a5c2afd60f408d3e32d63be074a586235316c38926feafd3d3e0988`
 
+## Splits
+
+| Split | Subjects | Pools | Recordings (per ch config) | Recordings total |
+|---|---|---|---|---|
+| Train | seeds 0–4 (5 subjects) | 21 (6 small + 8 medium + 7 large) | 168 | **336** |
+| Val | seeds 5–9 (5 subjects) | 5 (1 small + 2 medium + 2 large) | 40 | **80** |
+
+Subjects 5–9 are completely disjoint from training subjects, sampled from the same NeuroMotion+BioMime generator with the same fiber-density distribution. Val combos:
+
+| Tier | Subject | Muscle | Threshold | N MUs |
+|---|---|---|---|---|
+| small | sub5 | PL | 0.85 | 29 |
+| medium | sub6 | ECU | 0.85 | 50 |
+| medium | sub7 | EDI | 0.85 | 62 |
+| large | sub8 | FCU_u | 0.85 | 79 |
+| large | sub9 | ECRB | 0.90 | 92 |
+
 ## Quick load
 
 ```python
 import numpy as np
+
+# Train recording
 d = np.load("benchmark_v2/ch320/SA10-hi_ECU_sub03_N055.npz", allow_pickle=True)
-emg            = d["emg"]              # (T, 320) float32
+
+# Val recording
+d = np.load("benchmark_v2_val/ch320/SA10-hi_ECU_sub06_N050.npz", allow_pickle=True)
+
+emg            = d["emg"]              # (T, M) float32
 spike_mu_0     = d["spike_mu_0"]       # (n_spikes,) int64 — ground-truth indices
 angle_profile  = d["angle_profile"]    # (T,) joint angle in degrees
 effort_profile = d["effort_profile"]   # (T,) effort, fraction MVC
 fs             = int(d["fs"])          # 2048
 ```
 
-See `benchmark_spec.json` for the full parameter grid (8 conditions × 21 combos × 2 channel configs = 336).
+See `benchmark_spec.json` for the full parameter grid.
 
 ## Reproduction
 
-The dataset is fully reproducible from open code: NeuroMotion + BioMime → MUAP libraries → crosstalk filtering → NeuroMotion synthesis. Stage-by-stage scripts and PBS templates are inside `reproducibility_bundle.zip`. The original README (which lives at `experiments/v2/README.md` inside the bundle) walks through all five stages.
+The dataset is fully reproducible from open code: NeuroMotion + BioMime → MUAP libraries → crosstalk filtering → NeuroMotion synthesis. Stage-by-stage scripts and PBS templates are inside `reproducibility_bundle.zip`. The val split was generated with the same pipeline using seeds 5–9 instead of 0–4. The original README inside the bundle walks through all five stages.
 
 
 ---