Github
multi-label-class-classification-on-github-issuesfunctionalizer-100M-github-code-python-seed2functionalizer-100M-github-code-python-seed3functionalizer-100M-github-code-python-seed5functionalizer-100M-github-code-python-seed1functionalizer-100M-github-code-python-seed4naics-github-classifierfleet-sft-overfit-github-Qwen3-32B-GGUF
Datasets
All datasets matching “Github”github-codeThe GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.github-code-cleanThe GitHub Code clean dataset in a more filtered version of codeparrot/github-code dataset, it consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in almost 1TB of text data.github-code-2025-language-split
📜 Source Data & Attribution
This dataset is a processed derivative of nick007x/github-code-2025.
Origination
The original data was aggregated by nick007x from public GitHub repositories. We have retained the original content, file paths, and metadata while restructuring the format for easier consumption by language-specific models.
Processing Steps
To create this dataset, we performed the following processing on the source data:
Language… See the full description on the dataset page: https://huggingface.co/datasets/hasankursun/github-code-2025-language-split.open-github-major-repos🌐 AdhyanshVerma's Open GitHub Major Repos
An elite, curated collection of GitHub commit metadata from the world's most influential technology companies: Microsoft, Google, Meta, and Intel.
📖 Introduction
Welcome to AdhyanshVerma's Open GitHub Major Repos dataset. This dataset focuses exclusively on high-impact, industry-standard repositories maintained by the world's leading technology giants.
It utilizes the Lazy Pointer Pattern: instead of bloating your storage… See the full description on the dataset page: https://huggingface.co/datasets/AdhyanshVerma/open-github-major-repos.codeparrot-github-code-10GThis is data is derived from the Codeparrot Dataset by taking the first 10GB of text from each language, and splitting it into individual configs. This results in a download size of about 3GB per language.
Sample usage:
from datasets import load_dataset
dataset = load_dataset("ruediste/codeparrot-github-code-10G", "java")
List of Languages:
languages = {
'HTML': 'html',
'Java': 'java',
'JavaScript': 'js',
'CSS': 'css',
'C#': 'cs',
'TypeScript': 'ts',
"Batchfile":… See the full description on the dataset page: https://huggingface.co/datasets/ruediste/codeparrot-github-code-10G.code_clippy_githubThe Code Clippy dataset consists of various public codebases from GitHub in 22 programming languages with 23 extensions totalling about 16 TB of data when uncompressed. The dataset was created from the public GitHub dataset on Google BiqQuery.