Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale Data Structures & Algorithms (DSA) corpus containing programming problems, multi-language code solutions, examples, explanations, and structured metadata for coding assistants, LLM training, and software engineering AI.
Overview
DSA & Programming Problems Dataset for AI Training
Overview
This dataset is a large-scale collection of Data Structures & Algorithms (DSA), competitive programming problems, algorithmic challenges, and multi-language code solutions designed for software engineering AI, coding assistants, code generation models, educational platforms, and large language model training.
The corpus contains structured programming problems accompanied by examples, explanations, metadata, and implementation solutions across multiple programming languages. The dataset provides comprehensive coverage of algorithmic thinking, computational problem-solving, and practical software development concepts.
The collection enables AI systems to learn problem understanding, solution generation, code reasoning, algorithm design, and programming language translation across diverse coding scenarios.
Dataset Coverage
The collection includes:
- Data Structures Problems
- Algorithmic Challenges
- Competitive Programming Questions
- Coding Interview Problems
- Graph Algorithms
- Dynamic Programming
- Trees and Binary Trees
- Strings and Pattern Matching
- Mathematics and Number Theory
- Backtracking
- Greedy Algorithms
- Searching and Sorting
- Recursion
- Advanced Algorithmic Concepts
Key Features
- Programming problem statements
- Multi-language code solutions
- Input and output examples
- Structured JSON representations
- Algorithmic explanations
- Coding challenge metadata
- Computer science concepts
- Large-scale problem corpus
Programming Languages
Depending on the dataset, solutions may be available in:
- C++
- Java
- Python
- Additional programming languages
The multi-language nature of the corpus supports code translation, code generation, and cross-language learning applications.
Applications
- Coding Assistants
- Code Generation Models
- Software Engineering AI
- LLM Training
- Educational AI
- Programming Education Platforms
- Code Understanding Systems
- Code Completion Models
- Algorithmic Reasoning Systems
- Coding Interview Preparation Tools
AI Development Use Cases
The dataset is designed to support modern AI development workflows involving code generation, code understanding, programming assistance, software engineering intelligence, and computational reasoning.
Organizations can leverage this dataset to build coding copilots, developer productivity tools, educational learning systems, code recommendation engines, and next-generation software engineering agents.
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete dataset are available upon request.
InfoBay AI
Email: datareq@infobay.ai Phone: +91 8303174762
Highlights
- Large-scale collection of DSA, algorithmic, and competitive programming problems covering graph theory, dynamic programming, trees, strings, mathematics, and advanced problem-solving concepts.
- Includes problem statements, examples, structured metadata, and code solutions in multiple programming languages including C++, Java, and Python.
- Designed for coding assistants, code generation models, software engineering AI, LLM training, educational platforms, and programming intelligence applications.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
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 |
|---|---|---|---|---|---|---|
DSA & Programming Problems Dataset for AI Training | All historical revisions | All future revisions | Not included | Not included |
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