Update dataset card to use current project name

README.md

@@ -8,16 +8,16 @@ tags:
   - protac
   - protein-degradation
   - benchmark
-pretty_name: PROTAC-PLM-Bench
+pretty_name: PROTAC-Bench
 size_categories:
   - 10K<n<100K
 ---
 
-# PROTAC-PLM-Bench: A Cold-Target Benchmark for PROTAC Degradation Prediction
+# PROTAC-Bench: A Cold-Target Benchmark for PROTAC Degradation Prediction
 
 ## Dataset Description
 
-PROTAC-PLM-Bench is a merged PROTAC degradation dataset containing **10,748 entries** across **173 protein targets** (9,359 unique SMILES). It combines data from PROTAC-DB 3.0, Ribes et al. (2024), and DegradeMaster with deduplication and canonical SMILES standardization. Each entry has a binary activity label (active: DC50 < 1 μM OR Dmax > 50%) along with target UniProt ID and E3 ligase type (VHL/CRBN/Other). The dataset includes pre-computed 7-property ADMET cascade scores for all entries.
+PROTAC-Bench is a merged PROTAC degradation dataset containing **10,748 entries** across **173 protein targets** (9,359 unique SMILES). It combines data from PROTAC-DB 3.0, Ribes et al. (2024), and DegradeMaster with deduplication and canonical SMILES standardization. Each entry has a binary activity label (active: DC50 < 1 μM OR Dmax > 50%) along with target UniProt ID and E3 ligase type (VHL/CRBN/Other). The dataset includes pre-computed 7-property ADMET cascade scores for all entries.
 
 ## Evaluation Protocol
 
@@ -97,7 +97,7 @@ This dataset contains no personal or sensitive information. All entries are chem
 
 ```bibtex
 @inproceedings{protacbench2025,
-    title={PROTAC-PLM-Bench: A Cold-Target Benchmark for PROTAC Degradation Prediction},
+    title={PROTAC-Bench: A Cold-Target Benchmark for PROTAC Degradation Prediction},
     author={[Authors TBD]},
     booktitle={NeurIPS Datasets and Benchmarks Track},
     year={2025}