ruediste/codeparrot-github-code-10G

This 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": "bat",
    "C": 'c',
    "C++": 'cpp',
    "CMake": "cmake",
    "Dockerfile": "dockerfile",
    "FORTRAN": 'f',
    "GO": "go",
    "Haskell": "hs",
    "Julia": "jl",
    "Lua": "lua",
    "Makefile": "makefile",
    "Markdown": "md",
    "PHP": "php",
    "Perl": "perl",
    "PowerShell": 'ps1',
    "Python": "py",
    "Ruby": "rb",
    "Rust": "rs",
    "SQL": "sql",
    "Scala": "scala",
    "Shell": "sh",
    "TeX": "tex",
    "Visual Basic": "vb"
}

Please note that assembly to lost in the conversion.