datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SciCode-Programming-Problems
DATA3: Programming Problems Generation Dataset
Dataset Overview
DATA3 is a large-scale programming problems generation dataset that contains AI-generated programming problems inspired by real scientific computing code snippets. The dataset consists of 22,532 programming problems, each paired with a comprehensive solution. These problems focus on scientific computing concepts such as numerical algorithms, data analysis, mathematical modeling, and computational methods in… See the full description on the dataset page: https://huggingface.co/datasets/SciCodePile/SciCode-Programming-Problems.quantum-compilation-and-programming
Neura Parse — Quantum Compilation & Programming
A code-heavy vertical on the quantum software/compilation stack: turning abstract quantum circuits and unitaries into device-executable programs. Covers unitary decomposition and circuit synthesis (Euler/ZYZ, KAK/Cartan, Solovay-Kitaev, Ross-Selinger gridsynth, numerical synthesis with BQSKit), gate-set/basis transpilation to native gate sets, qubit layout/mapping and routing under connectivity constraints (SABRE, VF2, SWAP… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/quantum-compilation-and-programming.Vulnerable_Programming_DatasetVulnerable Programming Dataset
Overview
The Vulnerable Programming Dataset is a comprehensive collection of 550 unique code vulnerabilities across 10 programming languages: Python, JavaScript, PHP, Java, Ruby, Go, TypeScript, C++, SQL, and C. Designed for cybersecurity professionals, red teamers, pentesters, and developers, this dataset highlights unconventional vulnerabilities such as insecure interprocess communication, misconfigured rate limiting, insecure dependency pinning, and logic… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/Vulnerable_Programming_Dataset.SciCode-Programming-Problems
DATA3: Programming Problems Generation Dataset
Dataset Overview
DATA3 is a large-scale programming problems generation dataset that contains AI-generated programming problems inspired by real scientific computing code snippets. The dataset consists of 22,532 programming problems, each paired with a comprehensive solution. These problems focus on scientific computing concepts such as numerical algorithms, data analysis, mathematical modeling, and computational… See the full description on the dataset page: https://huggingface.co/datasets/SciCode/SciCode-Programming-Problems.ai-programming-cookbook
AI Programming Recipes Dataset
A Q&A dataset aimed at providing in-depth recipes on building complex AI systems for LLM fine-tuning. All the original data comes from open-source documentations.
Preprocessing
Multiple preprocessing steps were used to make the dataset ready for LoRa fine-tuning:
Convert the ipynb/rst files to markdown as it will be our output format. This was done thanks to nbconvert/pydantic.
Use an LLM (DeepSeek V3.1) to unclutter the output cells of… See the full description on the dataset page: https://huggingface.co/datasets/paulprt/ai-programming-cookbook.Vulnerable_Programming_DatasetVulnerable Programming Dataset
Overview
The Vulnerable Programming Dataset is a comprehensive collection of 550 unique code vulnerabilities across 10 programming languages: Python, JavaScript, PHP, Java, Ruby, Go, TypeScript, C++, SQL, and C. Designed for cybersecurity professionals, red teamers, pentesters, and developers, this dataset highlights unconventional vulnerabilities such as insecure interprocess communication, misconfigured rate limiting, insecure dependency pinning, and logic… See the full description on the dataset page: https://huggingface.co/datasets/VIGNESHWARAN04/Vulnerable_Programming_Dataset.Vulnerable_Programming_DatasetVulnerable Programming Dataset
Overview
The Vulnerable Programming Dataset is a comprehensive collection of 550 unique code vulnerabilities across 10 programming languages: Python, JavaScript, PHP, Java, Ruby, Go, TypeScript, C++, SQL, and C. Designed for cybersecurity professionals, red teamers, pentesters, and developers, this dataset highlights unconventional vulnerabilities such as insecure interprocess communication, misconfigured rate limiting, insecure dependency pinning, and logic… See the full description on the dataset page: https://huggingface.co/datasets/bharath-nuthalapati/Vulnerable_Programming_Dataset.mojo-programming-language-qnaA synthetic dataset from Claude Sonnet 3.5. The source documents are real pulled from the Mojo documentation, but everything else is synthetic.
perl-programming-qa