metadata

annotations_creators:
  - crowdsourced
license: other
language_creators:
  - crowdsourced
language:
  - code
task_categories:
  - text-generation
tags:
  - code, kotlin, native Android development, curated, training
size_categories:
  - 100K<n<1M
source_datasets: []
pretty_name: iva-kotlin-codeint-clean
task_ids:
  - language-modeling

IVA Kotlin GitHub Code Dataset

Dataset Description

This is the curated train split of IVA Kotlin dataset extracted from GitHub. It contains curated Kotlin files gathered with the purpose to train a code generation model.

The dataset consists of 383380 Kotlin code files from GitHub. Here is the unsliced curated dataset and here is the raw dataset.

How to use it

To download the full dataset:

from datasets import load_dataset
dataset = load_dataset('mvasiliniuc/iva-kotlin-codeint-clean-train', split='train'))

Data Structure

Data Fields

Field	Type	Description
repo_name	string	name of the GitHub repository
path	string	path of the file in GitHub repository
copies	string	number of occurrences in dataset
content	string	content of source file
size	string	size of the source file in bytes
license	string	license of GitHub repository
hash	string	Hash of content field.
line_mean	number	Mean line length of the content.
line_max	number	Max line length of the content.
alpha_frac	number	Fraction between mean and max line length of content.
ratio	number	Character/token ratio of the file with tokenizer.
autogenerated	boolean	True if the content is autogenerated by looking for keywords in the first few lines of the file.
config_or_test	boolean	True if the content is a configuration file or a unit test.
has_no_keywords	boolean	True if a file has none of the keywords for Kotlin Programming Language.
has_few_assignments	boolean	True if file uses symbol '=' less than `minimum` times.

Instance

{
   "repo_name":"oboenikui/UnivCoopFeliCaReader",
   "path":"app/src/main/java/com/oboenikui/campusfelica/ScannerActivity.kt",
   "copies":"1",
   "size":"5635",
   "content":"....",
   "license":"apache-2.0",
   "hash":"e88cfd99346cbef640fc540aac3bf20b",
   "line_mean":37.8620689655,
   "line_max":199,
   "alpha_frac":0.5724933452,
   "ratio":5.0222816399,
   "autogenerated":false,
   "config_or_test":false,
   "has_no_keywords":false,
   "has_few_assignments":false
}

Languages

The dataset contains only Kotlin files.

{
    "Kotlin": [".kt"]
}

Licenses

Each entry in the dataset contains the associated license. The following is a list of licenses involved and their occurrences.

{
   "agpl-3.0":3209,
   "apache-2.0":90782,
   "artistic-2.0":130,
   "bsd-2-clause":380,
   "bsd-3-clause":3584,
   "cc0-1.0":155,
   "epl-1.0":792,
   "gpl-2.0":4432,
   "gpl-3.0":19816,
   "isc":345,
   "lgpl-2.1":118,
   "lgpl-3.0":2689,
   "mit":31470,
   "mpl-2.0":1444,
   "unlicense":654
}

Dataset Statistics

{
    "Total size": "~207 MB",
    "Number of files": 160000,
    "Number of files under 500 bytes": 2957,
    "Average file size in bytes": 5199,
}

Curation Process

See the unsliced curated dataset for mode details.

Data Splits

The dataset only contains a train split focused only on training data. For validation and unspliced versions, please check the following links:

Clean Version Unsliced: https://huggingface.co/datasets/mvasiliniuc/iva-kotlin-codeint-clean
Clean Version Valid: https://huggingface.co/datasets/mvasiliniuc/iva-kotlin-codeint-clean-valid

Considerations for Using the Data

The dataset comprises source code from various repositories, potentially containing harmful or biased code, along with sensitive information such as passwords or usernames.