add leaderboard train data

README.md

@@ -12,9 +12,11 @@ size_categories:
 configs:
 - config_name: NDD
   data_files:
-    - split: train
+    - split: ndd_cd8
       path: data/ndd_v0.2.tsv
-    - split: test
+    - split: leaderboard-train
+      path: data/nip_leaderboard_train.tsv
+    - split: leaderboard-test
       path: data/nip_leaderboard_test.tsv
 ---
 
@@ -106,15 +108,14 @@ The dataset is released in tab-separated values (TSV, UTF-8 encoded) format.
 These reflect the present scope of published evidence and curation coverage. Future versions will progressively expand molecular features and strengthen patient-level annotations.
 
 ---
-## Leaderboard Test Dataset Overview
+## Leaderboard Dataset Overview
 
 We are excited to present a comprehensive biomedical dataset curated for advanced research and predictive modeling. This collection provides rich, multi-dimensional data across diverse cancer types, offering a solid foundation for developing robust machine learning models.
 
 ### 📊 Key Statistics
-- **Patients**: 34 individuals
-- **Total Records**: 36,243 data points
+- **Patients**: train: 81 individuals, test: 34 individuals
+- **Total Records**: train: 85,962 data items, test: 36,243 data items
 - **Average Data per Patient**: ~1,100 entries
-- **MHC Typing Variants**: 37 unique classifications
 
 ### 🎯 Cancer Type Coverage
 The dataset encompasses **10 distinct cancer types**, providing broad representation across oncology domains: