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Datasets:
mvasiliniuc
/
iva-swift-codeint-clean-train

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
json
Sub-tasks:
language-modeling
Languages:
code
Size:
100K - 1M
Tags:
code, swift, native iOS development, curated, training
Libraries:
Datasets
Dask
License:
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metadata
annotations_creators:
  - crowdsourced
license: other
language_creators:
  - crowdsourced
language:
  - code
task_categories:
  - text-generation
tags:
  - code, swift, native iOS development, curated, training
size_categories:
  - 10K<n<100K
source_datasets: []
pretty_name: iva-swift-codeint-clean
task_ids:
  - language-modeling

IVA Swift GitHub Code Dataset

Dataset Description

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

The dataset consists of 320000 Swift 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-swift-codeint-clean', 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 Swift Programming Language.
has_few_assignments boolean True if file uses symbol '=' less than minimum times.

Instance 

{
   "repo_name":"...",
   "path":".../BorderedButton.swift",
   "copies":"2",
   "size":"2649",
   "content":"...",
   "license":"mit",
   "hash":"db1587fd117e9a835f58cf8203d8bf05",
   "line_mean":29.1136363636,
   "line_max":87,
   "alpha_frac":0.6700641752,
   "ratio":5.298,
   "autogenerated":false,
   "config_or_test":false,
   "has_no_keywords":false,
   "has_few_assignments":false
}

Languages

The dataset contains only Swift files.

{
    "Swift": [".swift"]
}

Licenses

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

{
   "agpl-3.0":1415,
   "apache-2.0":71451,
   "artistic-2.0":169,
   "bsd-2-clause":2628,
   "bsd-3-clause":5492,
   "cc0-1.0":1176,
   "epl-1.0":498,
   "gpl-2.0":7846,
   "gpl-3.0":15716,
   "isc":676,
   "lgpl-2.1":932,
   "lgpl-3.0":2553,
   "mit":201134,
   "mpl-2.0":6846,
   "unlicense":1468
}

Dataset Statistics 

{
    "Total size": "~453 MB",
    "Number of files": 320000,
    "Number of files under 500 bytes": 3116,
    "Average file size in bytes": 5940,
}

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:

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.