Update README.md

README.md

@@ -12,7 +12,7 @@ configs:
 
 - config_name: full
   data_files:
-  - split: train
+  - split: full
     path: compiled_dataset.jsonl
 ---
 
@@ -20,11 +20,16 @@ configs:
 
 Dataset used in "Automated Semantic Fault Localization in SysML v2: A Human-in-the-Loop Framework Using Knowledge-Graph Augmented LLMs", presented at INCOSE International Symposium 2026.
 
-## Splits
+## Dataset Structure
+
+This dataset provides two configurations:
+
+- **default**  
+  Contains train/validation/test splits used for fine-tuning small models.  
+  Samples exceeding 2048 tokens have been removed.
 
-- **train**: 5,451 examples
-- **validation**: 1,184 examples
-- **test**: 1,145 examples
+- **full**  
+  Contains the full dataset ()
 
 ## Task
 
@@ -54,12 +59,12 @@ Given SysML v2 code and relevant context (compiler error, or relevant domain rul
 2. Synthetic errors were introduced via:
    - **Syntactic mutations** (5,497 instances)
    - **Domain/semantic mutations** based on violations of rules defined in a knowledge graph (1,402 instances)
-3. An equal number of correct (unmutated) examples were included to support classification of correct vs. erroneous code, resulting in 8,301 total instances.
+3. An equal number of correct (unmutated) examples were included to support classification of correct vs. erroneous code, resulting in 8,301 instances.
 4. Additional context was generated for each example:
    - Compiler error messages for syntactic errors
    - Relevant domain rules for semantic cases
 5. Target outputs were derived, including corrected code and corresponding diff patches.
-6. The dataset was split into train/validation/test sets using a 70/15/15 ratio.
+6. Entries longer than 2048 tokens were dropped, and remaining (7,780 instances) were split into train/validation/test sets using a 70/15/15 ratio.
 
 ## License