---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language: en
license: other
multilinguality: monolingual
size_categories: 10K<n<100K
source_datasets:
- original
task_categories:
- other
task_ids:
- language-modeling
pretty_name: SEI CERT C Coding Standard (Wiki rules)
tags:
- code
- security
- c
- static-analysis
- coding-standard
- sei-cert
---

# Dataset Card for SEI CERT C Coding Standard (Wiki rules)

<!-- Provide a quick summary of the dataset. -->

Structured export of the **SEI CERT C Coding Standard** rules from the official SEI wiki: one row per rule with titles, prose, and code examples.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

This dataset is a tabular snapshot of CERT C secure coding guidance as published on the SEI Confluence wiki. It is intended for retrieval, training data for code assistants, lint-rule authoring, and security education—not as a substitute for the authoritative standard.

- **Curated by:** Derived from public SEI CERT wiki pages; packaged as CSV by the dataset maintainer.
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** English (rule text and embedded code).
- **License:** Compilation distributed as `other`; source material is the publicly published SEI CERT standard on the CMU SEI wiki. Verify licensing for your use case with CMU SEI / the wiki terms.

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://wiki.sei.cmu.edu/confluence/display/seccode/SEI+CERT+Coding+Standards
- **Paper [optional]:** [SEI CERT C Coding Standard](https://wiki.sei.cmu.edu/confluence/display/c/SEI+CERT+C+Coding+Standard)
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

Secure coding education, semantic search over rules, benchmarking static analyzers, and supervised fine-tuning for security-focused models.

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

Not a legal or compliance certification. Do not treat scraped wiki text as legally binding; always consult the current official standard and your policies.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

All rows share the same columns (scraped from the SEI CERT Confluence wiki):

| Column | Description |
|--------|-------------|
| `language` | Language identifier for the rule set |
| `page_id` | Confluence page id |
| `page_url` | Canonical wiki URL for the rule page |
| `chapter` | Chapter label when present |
| `section` | Section label when present |
| `rule_id` | Rule identifier (e.g. `API00-C`, `CON50-J`) |
| `title` | Short rule title |
| `intro` | Normative / explanatory text |
| `noncompliant_code` | Noncompliant example(s) when present |
| `compliant_solution` | Compliant example(s) when present |
| `risk_assessment` | Risk / severity notes when present |
| `breadcrumb` | Wiki breadcrumb trail when present |


## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

Machine-readable rule text lowers the barrier to tooling and research aligned with CERT guidance.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

Pages were scraped from the SEI wiki; fields were normalized into CSV columns. See the companion `scrape_sei_wiki.py` in the source project if applicable.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

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## Dataset Card Contact

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