80 documented cloud misconfigurations, 50 best practices, and 100 educational Q&A pairs form this bilingual English/French dataset. The dataset, created by AYI-NEDJIMI, was last updated on February 13, 2026. It focuses on common security errors and guidance for major cloud platforms.
Use Cases
- Train NLP models for security policy classification based on the documented misconfigurations.
- Build educational chatbots or Q&A systems using the 100 bilingual question-answer pairs.
- Develop automated security checklist tools based on the 50 listed best practices.
- Create multilingual security awareness content for cloud engineers.
Strengths
- Contains 80 specific entries on common cloud misconfigurations.
- Includes 50 best practices and 100 educational Q&A pairs.
- Data is fully bilingual, covering both English and French.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- huggingface
- Collection Method
- Likely manually curated or compiled from cloud security documentation and best practices.
- Time Range
- null
- Freshness
- Last updated 2026-02-13 17:00:30; freshness should be verified.
- Geography
- null