metadata

annotations_creators: []
language:
  - code
license:
  - mit
pretty_name: github-code
size_categories:
  - 100K<n<1M
source_datasets: []
task_categories:
  - text-generation
task_ids:
  - language-modeling

Dataset Card for AI-HDLCoder

Dataset Description

The GitHub Code dataset consists of 100M code files from GitHub in VHDL programming language with extensions totaling in 1.94 GB of data. The dataset was created from the public GitHub dataset on Google BiqQuery at Anhalt University of Applied Sciences.

Considerations for Using the Data

The dataset is created for research purposes and consists of source code from a wide range of repositories. As such they can potentially include harmful or biased code as well as sensitive information like passwords or usernames.

Languages

{
    "VHDL": [".vhdl",".vhd" ]
}

Dataset Structure

Data Instances

{
  "repo_name": "sebgod/linguist",
  "path": "samples/VHDL/foo.vhd",
  "copies": "91",
  "size": "217",
  "content": "-- VHDL example file\n\nlibrary ieee;\nuse ieee.std_logic_1164.all;\n\nentity inverter is\n\tport(a : in std_logic;\n\t     b : out std_logic);\nend entity;\n\narchitecture rtl of inverter is\nbegin\n\tb \u003c\u003d not a;\nend architecture;\n",
  "license": "mit"
}

Data Fields

Field	Type	Description
content	string	content of source file
repo_name	string	name of the GitHub repository
path	string	path of file in GitHub repository
license	string	license of GitHub repository
size	int	size of source file in bytes

Data Splits

The dataset contains a train split only

Licensing Information

[
  'agpl-3.0',
  'artistic-2.0',
  'mpl-2.0',
  'cc0-1.0',
  'mit',
  'gpl-2.0',
  'gpl-3.0',
  'lgpl-3.0',
  'apache-2.0',
  'bsd-3-clause'
 ]

v1.0

Initial release of dataset
The query was executed on 21.07.2023, 00:02:38 UTC+2