Drop redundant cbcl_aligned source (identical to cbcl by construction)

README.md

@@ -22,7 +22,7 @@ classifiers).
 
 | Split | Rows | Faces / Non-faces |
 |---|---|---|
-| `train`     | 109,406 | 104,858 / 4,548 |
+| `train`     | 106,977 | 102,429 / 4,548 |
 | `test`      | 24,045 | 472 / 23,573 (CBCL benchmark) |
 | `negatives` | 29,879 | — / 29,879 (Caltech-256) |
 
@@ -47,18 +47,21 @@ negs = ds["negatives"]
 
 ## Face sources (train split)
 
-Each face source ships in **two paired variants at the same index** — same
-person, two crop styles:
+CelebA ships in **two paired variants at the same index** — same person,
+two crop styles:
 
-- `<src>` — loose portrait framing.
-- `<src>_aligned` — tight Viola-Jones crop (eyes pinned to fixed pixel
+- `celeba` — loose portrait framing (hair and jaw visible).
+- `celeba_aligned` — tight Viola-Jones crop (eyes pinned to fixed pixel
   positions, face fills the 48×48 frame).
 
+CBCL is already canonically aligned, so it has a single variant.
+
 | `source` | Label | Count | Notes |
 |---|---|---|---|
-| `celeba` / `celeba_aligned` | 1 | 50,000 each | Aligned CelebA via manual landmarks; filtered for frontal pose |
-| `cbcl` / `cbcl_aligned`     | 1 | 2,429 each   | MIT CBCL #1, upsampled from native 19×19 (already canonically aligned) |
-| `cbcl`                       | 0 | 4,548     | CBCL non-faces — matched-domain seed for stage 1 of cascade training |
+| `celeba`         | 1 | 50,000 | Loose portrait. Filtered for frontal pose using the manual CelebA landmarks. |
+| `celeba_aligned` | 1 | 50,000 | Same 50,000 faces tightly warped to CBCL-matched geometry. |
+| `cbcl`           | 1 | 2,429 | MIT CBCL #1, upsampled from native 19×19. Already canonically aligned. |
+| `cbcl`           | 0 | 4,548 | CBCL non-faces — matched-domain seed for stage 1 of cascade training. |
 
 Picking `source == "cbcl"` from train returns **both faces and non-faces** —
 filter by `label` to pick.

data/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
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