Datasets:
license: cc-by-4.0
size_categories:
- 10K<n<100K
tags:
- code
- source-code
- data-structures
- algorithms
- competitive-programming
- software-engineering
- computer-science
- code-generation
- code-completion
- code-understanding
- program-synthesis
- llm
- reasoning
- problem-solving
- coding-interviews
- leetcode
- sft
- rlhf
- self-supervised-learning
task_categories:
- text-generation
language:
- en
pretty_name: DSA coding Dataset
Dataset Description
This dataset is a large-scale collection of Data Structures and Algorithms (DSA) code, containing 12,384 code files with 3.86 million lines of code and 25.01 million lexical tokens, designed to support the development of advanced code generation models, programming assistants, software engineering AI systems, and code intelligence applications.
It consists of real-world DSA implementations covering a wide range of algorithms, data structures, problem-solving techniques, and programming paradigms. The dataset captures coding patterns, algorithmic reasoning, optimization strategies, computational logic, and software development practices commonly used in technical interviews, competitive programming, computer science education, and production software systems.
This makes it highly valuable for building accurate, scalable, and production-ready AI systems for code generation, code completion, program synthesis, code understanding, bug detection, algorithmic reasoning, and software engineering research. Additionally, this dataset can be utilized in pipelines for Supervised Fine-Tuning (SFT), Self-Supervised Learning (SSL), Reinforcement Learning with Human Feedback (RLHF), and code-focused AI workflows.
Dataset Specification
Code Files: 12,384
Total Lines of Code: 3.86 Million
Total Lexical Tokens: 25.01 Million
Domain: Data Structures and Algorithms
Data Type: Source Code
Nature: Real-world and curated programming data
Key Use Cases
Code generation and completion
Algorithm understanding and reasoning
Competitive programming model training
Programming assistant development
Code search and retrieval
Program synthesis
Software engineering AI systems
Bug detection and code analysis
Technical interview preparation systems
Code model benchmarking and evaluation
Value of This Dataset
Enables development of advanced coding AI systems
Supports large-scale code model training
Improves algorithmic reasoning capabilities
Facilitates code understanding and generation
Helps build AI-powered programming assistants
Strengthens software engineering and developer productivity tools
Basic JSON Schema
{
"problem_sno": "int64",
"problem_slug": "string",
"title": "string",
"problem_statement": "string",
"sample_sno": "int64",
"input": "string",
"output": "string",
"solution_sno": "int64",
"solution_name": "string",
"language": "string",
"code": "string",
"source_json_file": "string"
}
Data Creation
-Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.
-Ph: (91) 8303174762
-Email: datareq@infobay.ai