Update dataset card

README.md

@@ -11,49 +11,11 @@ tags:
 - security
 - cve
 - cvss
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: title
-    dtype: string
-  - name: description
-    dtype: string
-  - name: cpes
-    list: string
-  - name: cvss_v4_0
-    dtype: float64
-  - name: cvss_v3_1
-    dtype: float64
-  - name: cvss_v3_0
-    dtype: float64
-  - name: cvss_v2_0
-    dtype: float64
-  - name: patch_commit_url
-    dtype: string
-  - name: source
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 461651884
-    num_examples: 680373
-  - name: test
-    num_bytes: 51294653
-    num_examples: 75597
-  download_size: 325397638
-  dataset_size: 512946537
 ---
 
 # vulnerability-scores
 
-This dataset comprises **745,736** real-world vulnerabilities used to train and evaluate VLAI,
+This dataset comprises **755,970** real-world vulnerabilities used to train and evaluate VLAI,
 a transformer-based model designed to predict software vulnerability severity levels directly from text descriptions,
 enabling faster and more consistent triage.
 
@@ -63,11 +25,11 @@ The dataset is presented in the paper [VLAI: A RoBERTa-Based Model for Automated
 
 | Source | Label | Entries | Share |
 |--------|-------|---------|-------|
-| `cvelistv5` | CVE Program (enriched with vulnrichment and Fraunhofer FKIE) | 351,655 | 47.2% |
-| `github` | GitHub Security Advisories | 350,441 | 47.0% |
-| `csaf_redhat` | CSAF Red Hat | 26,730 | 3.6% |
-| `pysec` | PySec advisories | 6,991 | 0.9% |
-| `csaf_cisa` | CSAF CISA | 5,976 | 0.8% |
+| `cvelistv5` | CVE Program (enriched with vulnrichment and Fraunhofer FKIE) | 356,566 | 47.2% |
+| `github` | GitHub Security Advisories | 355,525 | 47.0% |
+| `csaf_redhat` | CSAF Red Hat | 26,761 | 3.5% |
+| `pysec` | PySec advisories | 7,164 | 0.9% |
+| `csaf_cisa` | CSAF CISA | 6,011 | 0.8% |
 | `csaf_cisco` | CSAF Cisco | 3,943 | 0.5% |
 
 Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu) with the [VulnTrain](https://github.com/vulnerability-lookup/VulnTrain) project.
@@ -77,8 +39,8 @@ Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).
 
 | Split | Examples |
 |-------|----------|
-| train | 671,162 |
-| test  | 74,574 |
+| train | 680,373 |
+| test  | 75,597 |
 
 ## Fields