Update dataset card release counts

Update the dataset card so deferred/excluded counts and train/test split counts match the corrected release manifests. Dataset files are unchanged.

README.md

@@ -20,7 +20,6 @@ configs:
         path: scenes_train.csv
       - split: test
         path: scenes_test.csv
-
 ---
 
 # IH-Depth
@@ -35,8 +34,10 @@ IH-Depth v0 is a curated LWIR/LWHSI-LiDAR benchmark derived from the Invisible H
 - License: CC BY 4.0
 - Total scenes in frozen manifest: `306`
 - Included scenes: `51`
-- Deferred scenes: `203`
-- Excluded scenes: `52`
+- Deferred scenes: `202`
+- Excluded scenes: `53`
+- Train scenes: `41`
+- Test scenes: `10`
 - Canonical included-scene triples: `51`
 
 ## Files
@@ -44,10 +45,12 @@ IH-Depth v0 is a curated LWIR/LWHSI-LiDAR benchmark derived from the Invisible H
 Top-level metadata files:
 
 - `scenes_manifest.csv`: one row per included scene, with repository-relative paths to the canonical files.
+- `scenes_train.csv`: train split scene manifest used by the Hugging Face dataset viewer.
+- `scenes_test.csv`: test split scene manifest used by the Hugging Face dataset viewer.
 - `frozen_manifest_included_51.csv`: full frozen-manifest rows for the 51 included scenes.
 - `07_frozen_manifest_v0.csv`: frozen release manifest for all 306 candidate scenes.
 - `release_summary.json`: machine-readable release counts and metadata-correction scope.
-- `ih-depth.croissant.json`: Croissant metadata describing this repository layout.
+- `ih-depth.croissant.json`: Croissant metadata describing this repository layout and RAI metadata.
 
 Canonical per-scene files:
 
@@ -82,10 +85,8 @@ IH-Depth provides sparse LiDAR-projected depth labels, not dense ground-truth de
 
 ## Provenance
 
-IH-Depth is derived from the Invisible Headlights dataset and from the registration, filtering, cleanup, and validation pipeline documented by the release manifests. Scene inclusion was frozen in `07_frozen_manifest_v0.csv`.
+IH-Depth is derived from the Invisible Headlights dataset and from the registration, filtering, cleanup, and validation pipeline documented by the release manifests. Scene inclusion was frozen in `07_frozen_manifest_v0.csv` and the benchmark train/test split was frozen in `scenes_train.csv` and `scenes_test.csv`.
 
 ## Responsible Use
 
 The dataset should not be used as the sole basis for safety-critical autonomous navigation, obstacle avoidance, or deployment decisions. Report the sparse-label nature, off-road scope, registration process, and evaluation protocol when using the dataset.
-
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