DeniableDocument category · code Q&A
Code Q&A datasets for technical retrieval and grounding.
Technical questions often hide the important constraint in a version, error message, or small code fragment. A code Q&A dataset can make those dependencies visible without copying a private repository or support queue.
The testing job
Keep the question, code, and constraint together.
A plausible technical answer can still be wrong for the stated version, framework, or error. Developer-focused cases help you test whether retrieval and answer generation use the complete context instead of a familiar keyword.
- Questions with a misleading but common error phrase
- Snippets whose behaviour depends on version or configuration
- Incomplete examples that require a safe clarification
- Answers that should cite or stay inside the supplied context
Useful checks
Evaluate grounded technical answers.
Use code Q&A cases for retrieval, issue triage, documentation search, answer drafting, and regression tests. Keep the original question and context visible so reviewers can separate a useful explanation from a confident guess.
- Did retrieval select the relevant technical context?
- Did the answer respect the stated version?
- Were missing details acknowledged?
- Can a reviewer trace the explanation to the supplied material?
Deniable approach
The scenario is reviewed by a person.
Human input and creative scenario design set the constraints that make a case useful. The collection is intended for internal development, QA, evaluation, training, and fine-tuning, not for representing any particular project's production code.
Catalogue note
Use fixed packs or API retrieval.
The catalogue will describe the languages, metadata, and supporting context included in each release. ZIP packs support repeatable runs, while authenticated API retrieval uses prepaid credits for selected documents.