Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
Tags:
code
License:
license: apache-2.0 | |
task_categories: | |
- text-generation | |
language: | |
- en | |
tags: | |
- code | |
pretty_name: CVE-LLm-Dataset | |
data_source: Custom data collected from the CVE database | |
data_formats: JSONL | |
# CVE-llm_dataset | |
This dataset is intended to train an LLM model for an utterly CVE-focused input and output. | |
## Data extraction: | |
For the data extraction, I first downloaded the CVE database from NVD lists and then loaded them using the `cve_dataset_2.py` and `cve_dataset.py` both have produce different datasets one is for llama and the other is for openai GPT. | |
The CVE json files are mapped in this format: | |
``` | |
cves: | |
| | |
├─1999 | |
| ├─0xxx | |
| | ├─CVE-1999-0001.json | |
| | ├─.... | |
| | └─CVE-1999-0999.json | |
| └─1xxx | |
| ├─CVE-1999-1000.json | |
| ├─.... | |
| └─CVE-1999-1598.json | |
└─2023 | |
``` | |
The programs traverse through these folders extract the data in the files and arrange them into usable formats for the fine-tuning process. | |
## llama2 Model dataset: | |
The llama2 fine-tuned dataset follows this format: | |
``` | |
{ | |
"instruction": "Explain CVE-1999-0001", | |
"input": "Explain the vulnerability: CVE-1999-0001", | |
"output": "ip_input.c in BSD-derived TCP/IP implementations allows remote attackers to cause a denial of service (crash or hang) via crafted packets.\nAffected Products: n/a\nReferences: [{'tags': ['x_refsource_CONFIRM'], 'url': 'http://www.openbsd.org/errata23.html#tcpfix'}, {'name': '5707', 'tags': ['vdb-entry', 'x_refsource_OSVDB'], 'url': 'http://www.osvdb.org/5707'}]\nCVE State: PUBLISHED" | |
} | |
``` | |
The instruction is what we instruct the AI to do with the data provided For example we can command the AI `To take in user input analyze it and then based on what he asks returns an answer` This is also where we can add a `role` or a `personal` to the AI. | |
The input is the user Input of the main query or data that must be processed by the AI. This is a crucial piece of information that the AI will process in order to provide an output. | |
The output is the format that we define and tell the AI to generate answers in that format or provide that answer to the question asked. |