Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale legacy codebase corpus containing enterprise software repositories, production source code, legacy architectures, and real-world application code for software modernization, code migration, and AI-assisted development.
Overview
Legacy Codebase Dataset for Software Modernization & AI Training
Overview
This dataset is a large-scale collection of legacy software repositories and enterprise application codebases designed to support software modernization, code migration, refactoring, software engineering AI, developer productivity tools, and large language model training.
The corpus contains production-grade source code originating from mature software systems, enterprise applications, and long-running development projects. These codebases capture real-world software engineering practices, architectural patterns, business logic implementations, maintenance workflows, and technology evolution across multiple software domains.
The dataset provides valuable resources for organizations developing AI-powered software engineering solutions capable of understanding, analyzing, maintaining, and modernizing complex legacy systems.
Dataset Coverage
The collection includes:
- Legacy Enterprise Applications
- Mature Software Systems
- Production Source Code
- Software Repositories
- Business Logic Implementations
- Multi-Module Applications
- Long-Term Maintained Systems
- Enterprise Software Components
- Application Framework Integrations
- Real-World Development Patterns
Key Features
- Production-grade codebases
- Enterprise software repositories
- Legacy application architectures
- Multi-language source code
- Real-world business logic
- Large-scale software systems
- Software maintenance history
- Suitable for AI training and evaluation
Applications
- Software Modernization
- Code Migration
- Code Refactoring
- Software Engineering AI
- Code Understanding
- Developer Productivity Tools
- Technical Debt Analysis
- Repository Intelligence
- Code Search Systems
- Enterprise Software Analytics
- Software Documentation Generation
- AI Coding Assistants
AI Development Use Cases
Organizations can utilize this dataset to develop AI systems capable of analyzing complex repositories, understanding legacy architectures, recommending modernization strategies, generating documentation, improving maintainability, and assisting software engineering teams throughout the software lifecycle.
The dataset is particularly valuable for training models that must operate on real-world production software rather than simplified educational examples.
Technology Diversity
The corpus may include multiple programming languages, frameworks, architectural styles, and software domains, providing broad exposure to real-world software engineering environments and development practices.
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete codebase collection are available upon request.
InfoBay AI
Email: datareq@infobay.ai Phone: +91 8303174762
Highlights
- Large-scale collection of legacy software repositories containing production-grade source code, mature architectures, business logic, and enterprise application components.
- Includes real-world codebases spanning multiple programming languages, frameworks, software domains, and technology stacks used in enterprise environments.
- Designed for software modernization, code migration, refactoring, code understanding, technical debt analysis, software engineering AI, and developer productivity applications.
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Dimensions summary
This listing uses one pricing dimension: Product Access (Units). It is free to subscribe, so there are no tiers, instance sizes, or usage add-ons to compare. Subscribing grants you access to the coding dataset for software modernization and AI training. The dataset covers data structures and algorithms problems, cross-language solutions, and legacy codebases. Because there is a single dimension at no cost, pricing does not scale with volume, language mix, or task type through Marketplace. To scope specific languages, problem types, or delivery, you contact the vendor for a separate engagement.
Top-of-mind questions for buyers
One unit grants your subscription access to the coding dataset. The dataset covers data structures and algorithms problems, cross-language solutions across 9 languages, plus 200+ legacy codebases. Access is granted at no charge, so the unit does not meter by volume, tokens, or language mix through Marketplace.
No. Product Access is free, so your Marketplace cost stays the same regardless of language mix or task type. To scope specific languages, problem difficulty, or task type such as DSA, SQL, or low-level design, you arrange a separate engagement with the vendor.
Data ships per-language in JSONL format with problem taxonomy metadata. Each output carries source, language, modality, and quality metadata. Documentation is structured for review under EU AI Act Article 10, India DPDP Act, and CCPA, with traceable lineage collected through formal enterprise agreements rather than web scraping.
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Delivery details
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Legacy Codebase Dataset for Software Modernization & AI Training | All historical revisions | All future revisions | Not included | Not included |
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