mvasiliniuc/iva-kotlin-codeint-clean

IVA Kotlin GitHub Code Dataset

Dataset Description

This is the curated 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 totaling ~542MB of data. The uncurated dataset was created from the public GitHub dataset on Google BiqQuery.

How to use it

To download the full dataset:

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

Other details are available for each field:

from datasets import load_dataset
dataset = load_dataset('mvasiliniuc/iva-kotlin-codeint-clean', split='train')
print(dataset[723])

#OUTPUT:
{
   "repo_name":"oboenikui/UnivCoopFeliCaReader",
   "path":"app/src/main/java/com/oboenikui/campusfelica/ScannerActivity.kt",
   "copies":"1",
   "size":"5635",
   "content":"....public override fun onPause() {\n        if (this.isFinishing) {\n            adapter.disableForegroundDispatch(this)\n        }\n        super.onPause()\n    }\n\n    override ...}\n",
   "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
}

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":4052,
   "apache-2.0":114641,
   "artistic-2.0":159,
   "bsd-2-clause":474,
   "bsd-3-clause":4571,
   "cc0-1.0":198,
   "epl-1.0":991,
   "gpl-2.0":5625,
   "gpl-3.0":25102,
   "isc":436,
   "lgpl-2.1":146,
   "lgpl-3.0":3406,
   "mit":39399,
   "mpl-2.0":1819,
   "unlicense":824
}

Dataset Statistics

{
    "Total size": "~261 MB",
    "Number of files": 201843,
    "Number of files under 500 bytes": 3697,
    "Average file size in bytes": 5205,
}

Curation Process

• Removal of duplication files based on file hash.
• Removal of file templates. File containing the following: [${PACKAGE_NAME}, ${NAME}, ${VIEWHOLDER_CLASS}, ${ITEM_CLASS}]
• Removal of the files containing the following words in the first 10 lines: generated, auto-generated", "autogenerated", "automatically generated
• Removal of the files containing the following words in the first 10 lines with a probability of 0.7: test", "unit test", "config", "XCTest", "JUnit
• Removal of file with the rate of alphanumeric characters below 0.3 of the file.
• Removal of near duplication based MinHash and Jaccard similarity.
• Removal of files with mean line length above 100.
• Removal of files without mention of keywords with a probability of 0.7: ["fun ", "val ", "var ", "if ", "else ", "while ", "for ", "return ", "class ", "data ", "struct ", "interface ", "when ", "catch "]
• Removal of files that use the assignment operator = less than 3 times.
• Removal of files with the ratio between the number of characters and number of tokens after tokenization lower than 1.5.

Curation process is a derivation of the one used in CodeParrot project: https://huggingface.co/codeparrot

Data Splits

The dataset only contains a train split which is separated into train and valid which can be found here:

• Clean Version Train: https://huggingface.co/datasets/mvasiliniuc/iva-kotlin-codeint-clean-train
• 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.