Metadata-only usability correction

Update dataset card, Croissant metadata, release summary, and repository-relative scene manifest paths. Dataset scene files are unchanged.

README.md

@@ -1,12 +1,81 @@
-# IH-Depth v0 (51 scenes)
+---
+pretty_name: "IH-Depth"
+license: "cc-by-4.0"
+task_categories:
+  - depth-estimation
+tags:
+  - mlcroissant
+  - croissant
+  - lwir
+  - lidar
+  - hyperspectral-imagery
+  - metric-depth-estimation
+  - off-road
+size_categories:
+  - n<1K
+---
 
-This package contains the 51 included scenes from `manifests/06_frozen_manifest_v0.csv`.
+# IH-Depth
 
-Per scene files:
-- `depth_label.npz`
-- `correspondences.txt`
-- `camera.cyl`
+IH-Depth v0 is a curated LWIR/LWHSI-LiDAR benchmark derived from the Invisible Headlights dataset. It contains 51 included off-road scenes with sparse LiDAR-projected metric depth labels, per-scene cylindrical camera geometry, correspondence files, and release manifests.
 
-Index files:
-- `scenes_manifest.csv`
-- `frozen_manifest_included_51.csv`
+## Repository Status
+
+- Hugging Face repository: `SemilleroCV/ih-depth`
+- Version: `v0` (`0.0.0` for Croissant semver metadata)
+- Published: `2026-05-07`
+- License: CC BY 4.0
+- Total scenes in frozen manifest: `306`
+- Included scenes: `51`
+- Deferred scenes: `203`
+- Excluded scenes: `52`
+- Canonical included-scene triples: `51`
+
+## Files
+
+Top-level metadata files:
+
+- `scenes_manifest.csv`: one row per included scene, with repository-relative paths to the canonical files.
+- `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.
+
+Canonical per-scene files:
+
+- `depth_label.npz`: sparse metric depth labels projected from LiDAR into LWHSI image coordinates.
+- `correspondences.txt`: image-to-geometry correspondences used by the registration pipeline.
+- `camera.cyl`: cylindrical camera geometry for the scene.
+
+Some scenes also include source or diagnostic assets inherited from release preparation, such as `.bsq`, `.hdr`, `.las`, `.png`, `.npy`, `*_label.npz`, and `*_all.cyl` files. The canonical benchmark interface is the 51 rows in `scenes_manifest.csv`.
+
+## Minimal Usage
+
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
+import numpy as np
+
+repo_id = "SemilleroCV/ih-depth"
+manifest_path = hf_hub_download(repo_id, "scenes_manifest.csv", repo_type="dataset")
+scenes = pd.read_csv(manifest_path)
+row = scenes.iloc[0]
+
+depth_path = hf_hub_download(repo_id, row.depth_label_path, repo_type="dataset")
+depth_npz = np.load(depth_path)
+print(depth_npz.files)
+```
+
+The `depth_label.npz` internal array names should be inspected with `np.load(...).files`, because downstream code should not assume undocumented internal key names.
+
+## Evaluation Scope
+
+IH-Depth provides sparse LiDAR-projected depth labels, not dense ground-truth depth. Metrics should be computed only at valid projected LiDAR pixels. The dataset is intended for research on monocular metric depth estimation in off-road longwave infrared hyperspectral imagery and should not be treated as a general-purpose RGB, indoor, on-road, aerial, or safety-certification benchmark.
+
+## 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`.
+
+## 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.