Datasets:
Tasks:
Text Classification
Formats:
parquet
Size:
10K - 100K
Tags:
vulnerability-detection
software-security
code-property-graph
retrieval-augmented-generation
cwe
License:
File size: 2,470 Bytes
6cb528f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | ---
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.
|