Update README

README.md

@@ -27,8 +27,8 @@ The benchmark uses simple rendered 3D scenes to isolate spatial-shortcut biases.
 ## Dataset Configs
 
 | Config | File | Rows | Description |
-|---|---:|---:|---|
-| `size_variation` | `size_variation.tsv` | 1,100 | Apparent-size questions under controlled object-size variation. |
+|---|---|---|---|
+| `size_variation` | `size_variation.tsv` | 1,100 | Distance questions under controlled object-size variation. |
 | `phase_variation` | `phase_variation.tsv` | 3,072 | Distance questions with controlled angular-position variation. |
 | `contrastive_probing` | `contrastive_probing.tsv` | 1,200 | Balanced spatial-relation questions for contrastive probing. |
 
@@ -44,9 +44,3 @@ All configs are tab-separated files with the same set of columns:
 | `A` | First answer choice. |
 | `B` | Second answer choice. |
 | `category` | Gold label for the row. |
-
-## Generation
-
-SpatialTunnel scenes are generated in Blender using the separate dataset-generation repository:
-
-https://github.com/cube-c/spatialtunnel-dataset-gen