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Training Data Corpus

Coding Dataset for Code LLM Fine-Tuning

12K+ DSA codebases and 200+ legacy codebases is an InfoBay corpus for enterprise AI teams that need traceable, expert-curated coding training data. DSA, SQL, machine coding, low-level design, competitive mathematics, and repository-history datasets.

Each dataset page is designed as a procurement-friendly overview: what the corpus contains, why it matters for model quality, which metrics are available, and how teams can request a scoped sample.

Corpus collections

12K+

DSA codebases

200+

legacy codebases

3.86M+

DSA lines

~1.36B+

tokens

64K+

solutions

455K+

legacy files

Dataset Overview

DSA, SQL, machine coding, low-level design, competitive mathematics, and repository-history datasets.

  • Supports code generation, repository reasoning, and supervised fine-tuning.
  • Includes legacy codebases and full commit history patterns.

Codebase inventory

The corpus is structured for inspection, scoping, and model-training decisions rather than packaged as an opaque bulk asset.

  • Data structures and algorithms: 12K+ codebases + 64K+ solutions
  • DSA corpus: 3.86M+ lines + 25.01M+ tokens
  • Legacy codebases: 200+ codebases across 11 industries
  • Legacy repository corpus: 90.85M+ lines + ~1.34B tokens + 455K+ files

Answers for buyers

FAQ

What is the InfoBay Coding dataset used for?

The Coding dataset is used for AI training, fine-tuning, evaluation, and domain-specific model development where curated, documented data quality matters.

Can teams request a sample before licensing?

Yes. InfoBay supports scoped sample requests so teams can evaluate format, coverage, and suitability before a larger licensing discussion.

Does InfoBay provide provenance and metadata?

Yes. InfoBay datasets are structured with source, modality, language, category, and quality metadata where applicable, supporting enterprise review and compliance workflows.