Update README.md

README.md

@@ -1,12 +1,3 @@
----
-task_categories:
-- question-answering
-tags:
-- biology
-- medical
-size_categories:
-- n<1K
----
 # Target-QA: QA Dataset Based on DepMap Multi-Omics Profiles and CRISPR Outcomes
 
 ## Dataset Summary  
@@ -18,6 +9,41 @@ The dataset is designed for training and benchmarking **graph-augmented large la
 
 ---
 
+## Preprocessing Details  
+
+![Dataset composition and splits](./FigureS1.png)
+
+- **Starting cohort**: 985 DepMap cell lines  
+  - 649 annotated (cancerous)  
+  - 336 non-annotated or non-cancerous  
+- **Target-QA subset**: 363 overlapping with CRISPR gene effect data  
+- **Omics modalities integrated into 834,809 entities**:  
+  - Promoter: 86,238  
+  - Gene: 86,238  
+  - Transcript: 412,039  
+  - Protein: 121,419  
+- **Knowledge graph integration**:  
+  - Protein–protein interactions: 17,151,453 edges  
+  - Disease–target associations: 27,087,971 edges  
+
+> **Note:** Methylation values excluded due to high saturation.  
+
+---
+
+## Data Splits  
+
+- **Pretraining set**: 336 samples  
+  - Train: 269  
+  - Test: 67  
+- **Target-QA set**: 363 samples  
+  - Train: 300  
+  - Test: 63  
+
+**Test distribution includes:** LUAD (7), BRCA (6), COAD/READ (5), PAAD (4), GBM (3), SARC (3), OV (3), SKCM (3), ESCA (3), SCLC (3), HNSC (2), LUSC (2), STAD (2), etc.  
+
+---
+
+
 ## Supported Tasks and Benchmarks  
 
 - **Graph-Augmented Question Answering**  
@@ -77,40 +103,6 @@ The dataset is designed for training and benchmarking **graph-augmented large la
 
 ---
 
-## Preprocessing Details  
-
-![Dataset composition and splits](./FigureS1.png)
-
-- **Starting cohort**: 985 DepMap cell lines  
-  - 649 annotated (cancerous)  
-  - 336 non-annotated or non-cancerous  
-- **Target-QA subset**: 363 overlapping with CRISPR gene effect data  
-- **Omics modalities integrated into 834,809 entities**:  
-  - Promoter: 86,238  
-  - Gene: 86,238  
-  - Transcript: 412,039  
-  - Protein: 121,419  
-- **Knowledge graph integration**:  
-  - Protein–protein interactions: 17,151,453 edges  
-  - Disease–target associations: 27,087,971 edges  
-
-> **Note:** Methylation values excluded due to high saturation.  
-
----
-
-## Data Splits  
-
-- **Pretraining set**: 336 samples  
-  - Train: 269  
-  - Test: 67  
-- **Target-QA set**: 363 samples  
-  - Train: 300  
-  - Test: 63  
-
-**Test distribution includes:** LUAD (7), BRCA (6), COAD/READ (5), PAAD (4), GBM (3), SARC (3), OV (3), SKCM (3), ESCA (3), SCLC (3), HNSC (2), LUSC (2), STAD (2), etc.  
-
----
-
 ## Prompt Design  
 
 ### Initial Prompt (`P_init_n`)