AWfaw/ai-hdlcoder-dataset

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

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