Drop gated-access wording; render reference sampling as plain text

README.md

@@ -75,11 +75,7 @@ Every retained asset is rendered under **both** configurations. They share camer
 
 Four side views at azimuths **0°, 90°, 180°, 270°** with zero elevation, plus a top and a bottom view (elevations ±90°). This is the six-view layout UltraTex is trained and evaluated on.
 
-For canonical we additionally render training reference images under the same three HDR maps. For each lighting condition, four random front-facing reference views are sampled from
-
-\[
-(\alpha,\beta) \in \bigl([-45^\circ,-8^\circ]\cup[8^\circ,45^\circ]\bigr) \times \bigl([-5^\circ,0^\circ]\cup[5^\circ,20^\circ]\bigr).
-\]
+For canonical we additionally render training reference images under the same three HDR maps. For each lighting condition, four random front-facing reference views are sampled: azimuth from [-45°, -8°] ∪ [8°, 45°] and elevation from [-5°, 0°] ∪ [5°, 20°].
 
 ### Sphere — 36 views (community release)
 
@@ -101,8 +97,6 @@ Resolution is set by the asset's native texture resolution: **2048²** if the so
 
 ## Repository layout
 
-Access is **gated**. Request access on this page before downloading.
-
 ```
 canonical/bsdf/{00..ff}.zip     # 256 buckets, ~4.25 TB total
 sphere/bsdf/{00..ff}.zip        # 256 buckets, ~21.09 TB total
@@ -131,7 +125,7 @@ sphere/bsdf/{00..ff}.zip        # 256 buckets, ~21.09 TB total
 
 ## Download
 
-Install `huggingface_hub` and log in after your access request is approved:
+Install `huggingface_hub`:
 
 ```bash
 pip install -U huggingface_hub