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DataLoom®

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DataLoom®

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The World’s Most Comprehensive Competitive Programming Datasets

Millions of algorithmic problems, real user submissions, and explanations to train and benchmark AI code models.

The World’s Most Comprehensive Competitive Programming Datasets

Millions of algorithmic problems, real user submissions, and explanations to train and benchmark AI code models.

The World’s Most Comprehensive Competitive Programming Datasets

Millions of algorithmic problems, real user submissions, and explanations to train and benchmark AI code models.

Rich code samples.

Access high-quality code examples in multiple languages, ready for AI and ML projects.

Detailed annotations.

Each dataset includes expert-labeled metadata, comments, and structural annotations.

Wide language support.

Explore datasets spanning Python, JavaScript, Java, and more.

Rich code samples.

Access high-quality code examples in multiple languages, ready for AI and ML projects.

Detailed annotations.

Each dataset includes expert-labeled metadata, comments, and structural annotations.

Wide language support.

Explore datasets spanning Python, JavaScript, Java, and more.

Rich code samples.

Access high-quality code examples in multiple languages, ready for AI and ML projects.

Detailed annotations.

Each dataset includes expert-labeled metadata, comments, and structural annotations.

Wide language support.

Explore datasets spanning Python, JavaScript, Java, and more.

Failures included.

Not only correct answers, but wrong answers, errors, and timeouts — teaching AI resilience.

Global coverage.

A wide range of problem-solving approaches from diverse participants worldwide.

Full loop.

Problems, submissions, results, and editorial-style explanations in one package.

Failures included.

Not only correct answers, but wrong answers, errors, and timeouts — teaching AI resilience.

Global coverage.

A wide range of problem-solving approaches from diverse participants worldwide.

Full loop.

Problems, submissions, results, and editorial-style explanations in one package.

Failures included.

Not only correct answers, but wrong answers, errors, and timeouts — teaching AI resilience.

Global coverage.

A wide range of problem-solving approaches from diverse participants worldwide.

Full loop.

Problems, submissions, results, and editorial-style explanations in one package.

Competitive Programming Dataset

Boost your AI models with problems, solutions, and failed attempts across global archives.

Competitive Programming Dataset

Boost your AI models with problems, solutions, and failed attempts across global archives.

Competitive Programming Dataset

Boost your AI models with problems, solutions, and failed attempts across global archives.

This dataset contains structured algorithmic problems, multilingual code submissions, and detailed verdicts such as Accepted, Wrong Answer, and Time Limit Exceeded.

It reflects real-world reasoning, problem-solving approaches, and human error — making it invaluable for training and evaluating AI models in software engineering and tutoring.

This dataset contains structured algorithmic problems, multilingual code submissions, and detailed verdicts such as Accepted, Wrong Answer, and Time Limit Exceeded.

It reflects real-world reasoning, problem-solving approaches, and human error — making it invaluable for training and evaluating AI models in software engineering and tutoring.

This dataset contains structured algorithmic problems, multilingual code submissions, and detailed verdicts such as Accepted, Wrong Answer, and Time Limit Exceeded.

It reflects real-world reasoning, problem-solving approaches, and human error — making it invaluable for training and evaluating AI models in software engineering and tutoring.

Train Code LLMs: Teach models to solve algorithmic problems across multiple programming languages.

AI Tutor Training: Build AI systems that explain reasoning steps, not just final answers.

Benchmarking: Evaluate model performance on tasks ranging from beginner to Olympiad-level difficulty.

Interview Simulation: Prepare models for coding interview challenges used by top employers.

Super fast.

Super fast.

Super fast.

Super fast.

Super fast.

Super fast.

Super fast.

Super fast.

Type

Problems, Submissions, Explanations

Languages

C++, Python, Java, Rust, Go, and others

Quantity

100,000+ problems, millions of submissions

Metadata

Problem statements, constraints, test cases, results, runtime, memory usage

File Format

Code files (.cpp, .py, .java, etc.) with structured JSON metadata

Type

Problems, Submissions, Explanations

Languages

C++, Python, Java, Rust, Go, and others

Quantity

100,000+ problems, millions of submissions

Metadata

Problem statements, constraints, test cases, results, runtime, memory usage

File Format

Code files (.cpp, .py, .java, etc.) with structured JSON metadata

Type

Problems, Submissions, Explanations

Languages

C++, Python, Java, Rust, Go, and others

Quantity

100,000+ problems, millions of submissions

Metadata

Problem statements, constraints, test cases, results, runtime, memory usage

File Format

Code files (.cpp, .py, .java, etc.) with structured JSON metadata

We weave global data into a single, structured resource for tomorrow’s AI—petabyte-class, multimodal, and alignment-ready—empowering organizations to move directly into training at scale.

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Explore our Data

We weave global data into a single, structured resource for tomorrow’s AI—petabyte-class, multimodal, and alignment-ready—empowering organizations to move directly into training at scale.

Company

Home

Home

Home

We weave global data into a single, structured resource for tomorrow’s AI—petabyte-class, multimodal, and alignment-ready—empowering organizations to move directly into training at scale.

Company

Home

Home

Home