Multimodal / Education
DSA Codebase Dataset - 12K Codebases, 3.86M lines of code, 64K Solutions, 7 Programming Languages | Codebase Data
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Overview
DSA Codebase Dataset - 12K Codebases, 3.86M lines of code, 64K Solutions, 7 Programming Languages | Codebase Data is a multimodal dataset. Typical applications include machine translation, fine-tuning & instruction data, alignment & RLHF and 1 more. Relevant sectors: Education and AI & Machine Learning. Pricing is not published and is provided on request.
Primary applications
Dataset Description This dataset is a large-scale multilingual coding and software engineering dataset designed to support the development of advanced AI coding assistants, code generation systems, software engineering agents, and programming-focused foundation models. The dataset includes diverse real-world source code repositories, competitive programming problems, system design tasks, algorithmic workflows, and developer-centric programming data across multiple languages including C, C++, Java, Python, JavaScript, SQL, Go, PHP, Rust, and more. The dataset captures authentic coding styles, repository structures, software patterns, debugging workflows, and development practices from real-world engineering environments. It is highly valuable for building scalable and production-ready AI systems focused on code understanding, reasoning, generation, debugging, documentation, and autonomous software engineering workflows. The dataset also supports Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), code alignment, and AI agent training pipelines. Key Use Cases -AI code generation and completion -Code reasoning and debugging -Software engineering agent training -Competitive programming and algorithmic reasoning -Repository-level code understanding -Automated documentation generation -System design and architecture learning -Code summarization and translation -Benchmarking and evaluation for coding models -Developer productivity and copilots Dataset Sp
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RLHF & AI Evaluation Data — Multilingual, Expert Annotators
The provider provides human feedback and evaluation data for LLM alignment and fine-tuning.
- Language
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- Volume
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- Domain
- Education +1
- Use case
- Machine translation
USD 500
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