Update README.md

README.md

@@ -68,8 +68,8 @@ The dataset contains the following columns:
 - **`commit_id`**: String - Unique identifier of the commit associated with the function.
 - **`func`**: String - The source code of the function before fixing (from `func_before` in BigVul).
 - **`vul`**: Int8 - Vulnerability label (1 = vulnerable, 0 = not vulnerable).
-- **`CVE ID`**: String - Common Vulnerabilities and Exposures identifier (e.g., `CVE-2007-1320`), or `NOT_VULNERABLE` if `vul = 0`.
-- **`CWE ID`**: String - Common Weakness Enumeration identifier (e.g., `CWE-20`), or `NOT_VULNERABLE` if `vul = 0`.
+- **`CVE ID`**: String - Common Vulnerabilities and Exposures identifier (e.g., `CVE-2007-1320`), or `NOT_APPLICABLE` if `vul = 0`.
+- **`CWE ID`**: String - Common Weakness Enumeration identifier (e.g., `CWE-20`), or `NOT_APPLICABLE` if `vul = 0`.
 
 ### Splits
 - **Train**: Combined training data from BigVul and PrimeVul.
@@ -96,14 +96,13 @@ The dataset was preprocessed to ensure consistency and quality:
   - Renamed `cve` to `CVE ID`, `cwe` to `CWE ID`, `target` to `vul`.
   - Standardized `CWE ID` by removing brackets from list format (e.g., `["CWE-XXX"]` → `CWE-XXX`), taking the first element if multiple CWEs exist.
   - Converted `vul` from `int64` to `int8`.
-  - Handled edge cases: `None` or empty lists in `CWE ID` set to `"UNKNOWN_CWE"` temporarily.
 
 ### Merging and Final Preprocessing
 - **Merging**: Concatenated preprocessed BigVul and PrimeVul data for each split (`train`, `test`, `validation`).
 - **Final Steps**:
   - Removed rows with any null values.
   - Removed duplicates based on the `func` column.
-  - For rows where `vul = 0`, replaced `CVE ID` and `CWE ID` with `"NOT_VULNERABLE"`.
+  - For rows where `vul = 0`, replaced `CVE ID` and `CWE ID` with `"NOT_APPLICABLE`.
 
 
 ## Dataset Statistics
@@ -112,20 +111,20 @@ Below are the analysis results for the final merged dataset:
 
 ### Train Split
 - **Number of rows**: 239,822
-- **Unique CWE IDs (excluding `NOT_VULNERABLE`)**: 127
+- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 127
 - **Unique commit IDs**: 7,559
 - **Vulnerable functions (`vul = 1`)**: 9,037
 
 ### Test Split
 - **Number of rows**: 51,390
-- **Unique CWE IDs (excluding `NOT_VULNERABLE`)**: 87
+- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 87
 - **Unique commit IDs**: 6,032
 - **Vulnerable functions (`vul = 1`)**: 1,911
 
 
 ### Validation Split
 - **Number of rows**: 51,392
-- **Unique CWE IDs (excluding `NOT_VULNERABLE`)**: 91
+- **Unique CWE IDs (excluding `NOT_APPLICABLE`)**: 91
 - **Unique commit IDs**: 6,059
 - **Vulnerable functions (`vul = 1`)**: 1,933
 
@@ -136,5 +135,4 @@ Below are the analysis results for the final merged dataset:
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("mahdin70/merged_bigvul_primevul")
-# Access splits: dataset['train'], dataset['test'], dataset['validation']
+dataset = load_dataset("mahdin70/merged_bigvul_primevul")