Datasets:
Tasks:
Text Classification
Formats:
parquet
Size:
10K - 100K
Tags:
vulnerability-detection
software-security
code-property-graph
retrieval-augmented-generation
cwe
License:
| license: other | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - vulnerability-detection | |
| - software-security | |
| - code-property-graph | |
| - retrieval-augmented-generation | |
| - cwe | |
| configs: | |
| - config_name: primevul | |
| data_files: | |
| - split: train | |
| path: primevul/train.parquet | |
| - split: val | |
| path: primevul/val.parquet | |
| - split: test | |
| path: primevul/test.parquet | |
| - config_name: megavul | |
| data_files: | |
| - split: train | |
| path: megavul/train.parquet | |
| - split: val | |
| path: megavul/val.parquet | |
| - split: test | |
| path: megavul/test.parquet | |
| - config_name: crossvul | |
| data_files: | |
| - split: train | |
| path: crossvul/train.parquet | |
| - split: val | |
| path: crossvul/val.parquet | |
| - split: test | |
| path: crossvul/test.parquet | |
| # DELTA vulnerability datasets | |
| This repository contains the three benchmark splits used by **DELTA: | |
| Differential Evidence for LLM Taxonomy-Aware Software Vulnerability | |
| Detection**. | |
| ## Configurations | |
| | config | task | training knowledge base | validation/test | | |
| |---|---|---|---| | |
| | `primevul` | single-language | C/C++ | C/C++ | | |
| | `megavul` | cross-language | C/C++ | Java | | |
| | `crossvul` | multi-language transfer | C, Go, Java, PHP, TypeScript | C++, C#, JavaScript, Python, Ruby, Rust, Scala | | |
| Each config has `train`, `val` and `test` splits. The training split is the | |
| knowledge-base construction set. In DELTA, each pair contributes two | |
| classification items during evaluation: the vulnerable version (label `1`) and | |
| the fixed version (label `0`). | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| primevul = load_dataset("codemetic/DELTA", "primevul", split="train") | |
| megavul_java = load_dataset("codemetic/DELTA", "megavul", split="test") | |
| crossvul = load_dataset("codemetic/DELTA", "crossvul", split="val") | |
| ``` | |
| Or use the DELTA code directly: | |
| ```bash | |
| python -m delta.cli run --config configs/primevul.yaml --run-id primevul-full | |
| ``` | |
| The loader pulls the data from this repository by default (`data.source: hf`). | |
| ## Columns | |
| The parquet files preserve the original benchmark columns, including: | |
| - `vul_code`, `fixed_code` | |
| - `cwe` or `cwe_id`, and `cwe_description` where available | |
| - `language` for CrossVul | |
| - project/CVE metadata for PrimeVul and MegaVul | |
| ## Citation | |
| Please cite the DELTA paper. See the project repository for the full author list | |
| and bibliography. | |
| ## Notes | |
| These datasets are redistributed for research convenience. Please also follow | |
| the terms of the original PrimeVul, MegaVul and CrossVul releases. | |