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Update dataset card

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  1. README.md +9 -47
README.md CHANGED
@@ -11,49 +11,11 @@ tags:
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  - security
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  - cve
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  - cvss
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: title
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- dtype: string
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- - name: description
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- dtype: string
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- - name: cpes
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- list: string
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- - name: cvss_v4_0
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- dtype: float64
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- - name: cvss_v3_1
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- dtype: float64
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- - name: cvss_v3_0
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- dtype: float64
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- - name: cvss_v2_0
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- dtype: float64
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- - name: patch_commit_url
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- dtype: string
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- - name: source
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 454248253
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- num_examples: 671162
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- - name: test
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- num_bytes: 50472328
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- num_examples: 74574
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- download_size: 320793443
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- dataset_size: 504720581
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- - split: test
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- path: data/test-*
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  ---
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  # vulnerability-scores
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- This dataset comprises **731,020** real-world vulnerabilities used to train and evaluate VLAI,
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  a transformer-based model designed to predict software vulnerability severity levels directly from text descriptions,
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  enabling faster and more consistent triage.
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@@ -63,12 +25,12 @@ The dataset is presented in the paper [VLAI: A RoBERTa-Based Model for Automated
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  | Source | Label | Entries | Share |
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  |--------|-------|---------|-------|
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- | `cvelistv5` | CVE Program (enriched with vulnrichment and Fraunhofer FKIE) | 345,760 | 47.3% |
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- | `github` | GitHub Security Advisories | 345,052 | 47.2% |
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- | `csaf_redhat` | CSAF Red Hat | 26,218 | 3.6% |
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- | `csaf_cisa` | CSAF CISA | 5,944 | 0.8% |
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- | `pysec` | PySec advisories | 4,105 | 0.6% |
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- | `csaf_cisco` | CSAF Cisco | 3,941 | 0.5% |
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  Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu) with the [VulnTrain](https://github.com/vulnerability-lookup/VulnTrain) project.
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  Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).
@@ -77,8 +39,8 @@ Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).
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  | Split | Examples |
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  |-------|----------|
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- | train | 657,918 |
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- | test | 73,102 |
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  ## Fields
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  - security
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  - cve
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  - cvss
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # vulnerability-scores
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+ This dataset comprises **745,736** real-world vulnerabilities used to train and evaluate VLAI,
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  a transformer-based model designed to predict software vulnerability severity levels directly from text descriptions,
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  enabling faster and more consistent triage.
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  | Source | Label | Entries | Share |
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  |--------|-------|---------|-------|
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+ | `cvelistv5` | CVE Program (enriched with vulnrichment and Fraunhofer FKIE) | 351,655 | 47.2% |
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+ | `github` | GitHub Security Advisories | 350,441 | 47.0% |
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+ | `csaf_redhat` | CSAF Red Hat | 26,730 | 3.6% |
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+ | `pysec` | PySec advisories | 6,991 | 0.9% |
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+ | `csaf_cisa` | CSAF CISA | 5,976 | 0.8% |
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+ | `csaf_cisco` | CSAF Cisco | 3,943 | 0.5% |
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  Extracted from the database of [Vulnerability-Lookup](https://vulnerability.circl.lu) with the [VulnTrain](https://github.com/vulnerability-lookup/VulnTrain) project.
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  Dumps of the data are available [here](https://vulnerability.circl.lu/dumps/).
 
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  | Split | Examples |
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  |-------|----------|
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+ | train | 671,162 |
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+ | test | 74,574 |
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  ## Fields
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