Update README.md

README.md

@@ -12,6 +12,8 @@ tags:
 - instruction-tuning
 - benchmark
 pretty_name: TransitLM
+size_categories:
+- 10B<n<100B
 ---
 
 # TransitLM: Dataset Release & Evaluation Protocol
@@ -172,4 +174,4 @@ These properties make it infeasible to associate records with the same individua
 | Reproducibility | ✅ Full training pipeline reproducible | ✅ Standardized community test set |
 | Training utility | ✅ < 0.1% spatial error, topology preserved | Not used for training |
 
-This dual-release design maximizes research utility through reproducible training and fair evaluation, while minimizing privacy exposure by applying perturbation only where data scale creates risk.
+This dual-release design maximizes research utility through reproducible training and fair evaluation, while minimizing privacy exposure by applying perturbation only where data scale creates risk.