Two code sub-collections: independently authored DSA problem-solution pairs across seven languages, and production Legacy Codebases with full git history across fourteen industries.
The top entries by volume, with the long tail collapsed into a single figure.
Language
Industry
Every field a delivered record carries, its type, and an example value.
| Field | Type | Description | Example |
|---|---|---|---|
| problem_title | string | Problem name. | Shortest Path in a Binary Weight Graph |
| topic | string | Problem category. | DSA |
| languages | string[] | Languages with a verified solution. | ["cpp","java","python","csharp","javascript"] |
| solution_lines | integer | Line count for a given language solution. | 67 |
| solution_tokens | integer | Token count for a given language solution. | 535 |
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| Field | Type | Description | Example |
|---|---|---|---|
| repository_name | string | Repository identifier. | gibbon-android-app |
| industry | string | Industry classification from the source taxonomy. | Education & EdTech |
| languages_used | string[] | Programming languages present in the repository. | ["Java","JavaScript","Kotlin","HTML","CSS"] |
| total_commits | integer | Cumulative commit count in the git history. | 5163 |
| total_files | integer | File count in the repository. | 407 |
| development_span_months | number | Months from first to last commit. | 88 |
| source_license | string | OSI-approved license the repository was verified under. | MIT |
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Real rows, exactly as delivered. Copy them and check them.
[ { "problem_title": "Shortest Path in a Binary Weight Graph", "topic": "DSA", "languages": [ "cpp", "java", "python", "csharp", "javascript" ], "cpp_lines": 67, "cpp_tokens": 535 }][ { "repository_name": "gibbon-android-app", "industry": "Education & EdTech", "languages_used": [ "Java", "JavaScript", "Kotlin", "HTML", "CSS" ], "total_commits": 5163, "total_files": 407, "development_span_months": 88 }]Sources, acquisition method, and the basis on which the material is held.
Every record passes these stages in order. Each stage states what it removes.
Pulls candidate repositories via the GitHub API; authors DSA problem-solution pairs to a fixed rubric.
Inactive, archived, or low-signal repositories.
Confirms an OSI-approved or permissive license before inclusion.
Repositories with restrictive or unclear licensing.
Runs every DSA solution against its test cases per language.
Non-compiling or failing submissions.
Compares repository full name and normalized problem title.
Duplicate entries.
Scans dependencies and code patterns against known vulnerability signatures.
Files flagged for known vulnerable patterns.
Named benchmarks checked for overlap, and the method used to check them.
Formats, access mechanisms, and how revisions are published.
What this dataset does not cover. Read this before you evaluate it.
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