Rename to VibeProteinBench

README.md

@@ -2,7 +2,7 @@
 language:
 - en
 license: cc-by-4.0
-pretty_name: VibePDBench
+pretty_name: VibeProteinBench
 configs:
 - config_name: recognition
   data_files:
@@ -18,9 +18,9 @@ configs:
     path: generation/test-00000-of-00001.parquet
 ---
 
-# VibePDBench
+# VibeProteinBench
 
-VibePDBench is a benchmark for evaluating language-interfaced protein design models across three tasks: protein recognition, rationale-guided engineering, and functional protein generation.
+VibeProteinBench is a benchmark for evaluating language-interfaced protein design models across three tasks: protein recognition, rationale-guided engineering, and functional protein generation.
 
 ## Configurations
 
@@ -33,7 +33,7 @@ Each configuration is provided as a single `test` split in Parquet format.
 ## Responsible AI (RAI) Metadata
 
 ### Data limitations / known limitations
-VibePDBench relies primarily on in silico validation metrics such as predicted structure confidence, energy changes, docking scores, GO prediction, and interface-quality measures, rather than experimental wet-lab validation. Therefore, benchmark success may not fully guarantee real-world biological function or experimental viability.
+VibeProteinBench relies primarily on in silico validation metrics such as predicted structure confidence, energy changes, docking scores, GO prediction, and interface-quality measures, rather than experimental wet-lab validation. Therefore, benchmark success may not fully guarantee real-world biological function or experimental viability.
 
 ### Bias and underrepresented populations
 The benchmark is biased toward proteins, structures, annotations, and molecular targets available in public biological databases such as UniProt/Swiss-Prot, RCSB PDB, Gene Ontology, InterPro, ECOD, BRENDA, OGTFinder, PubChem, and related resources. Under-characterized protein families, organisms, or structures, may be underrepresented.