Datasets:
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---
language:
- code
license: other
size_categories:
- 100M<n<1B
task_categories:
- text-generation
pretty_name: KExercises
dataset_info:
features:
- name: path
dtype: string
- name: owner
dtype: string
- name: repo_id
dtype: int64
- name: is_fork
dtype: bool
- name: languages_distribution
dtype: string
- name: content
dtype: string
- name: issues
dtype: float64
- name: main_language
dtype: string
- name: forks
dtype: int64
- name: stars
dtype: int64
- name: commit_sha
dtype: string
- name: size
dtype: int64
- name: name
dtype: string
- name: license
dtype: string
splits:
- name: train
num_bytes: 11547281532
num_examples: 4000514
download_size: 4257401542
dataset_size: 11547281532
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Summary
KStack is the largest collection of permissively licensed Kotlin code.
![banner](https://huggingface.co/datasets/JetBrains/KStack/resolve/main/banner.png)
## Comparison with The Stack v2
In the table below one can find the comparsion between the Kotlin part of The Stack v2 and KStack:
| | Files | Repositories | Lines | Tokens |
|------------------------|:-----:|:------------:|:-----:|:------:|
| Kotlin in The Stack v2 | 2M | 109,457 | 162M | 1.7B |
| Kstack | 4M | 168,902 | 292M | 3.1B |
# Dataset Creation
## Collection procedure
We collected repositories from GitHub with the main language being Kotlin, as well as any repositories with Kotlin files that have received 10 or more stars (as of February 2024). Additionally, we gathered repositories with Kotlin files from The Stack v1.2. Kotlin files were identified using [go-enry](https://github.com/go-enry/go-enry) and include files with extensions such as `.kt`, `.kts`, and `.gradle.kts`. It is estimated that we have collected 97% of available Kotlin repositories as of February 2024.
## Initial filtering
We conducted full deduplication, using the hash of file content, as well as near deduplication using the same method as in [The Stack v1.2](https://arxiv.org/pdf/2211.15533). We aggregated the files from one near-deduplicated cluster into a file from the repository with the most stars.
## Detecting permissive licenses
We filtered permissive repositories based on the licenses detected by GitHub, and using [go-license-detector](https://github.com/src-d/go-license-detector) if GitHub did not have licensing information available.
The list of permissive licenses used in dataset can be found [here](https://huggingface.co/datasets/JetBrains/KStack/blob/main/licenses.json).
## Personal and Sensitive Information
To filter out personal information, we applied the same model that was used for The Stack v2 β [star-pii](https://arxiv.org/abs/2402.19173).
# Column description
The dataset contains the following columns:
- `size` β size of the file in bytes
- `content` β text (content) of the file after removing personal identifiable information
- `repo_id` β GitHub ID of the repository
- `path` β path to a file
- `owner` β repo owner on GitHub
- `name` β repo name on GitHub
- `commit_sha` β hash of the commit, from which the revision of the file is taken
- `stars` β number of stars in the repo at the moment of collection
- `forks` β number of forks in the repo at the moment of collection
- `issues` β number of issues in the repo at the moment of collection
- `is_fork` β `true` if the repo is a fork or not as defined by GitHub
- `main_language` β main language of the repo as defined by GitHub
- `languages_distribution` β JSON with the distribution of languages by size in bytes in the repo
- `license` β permissive license of the repository
# Opt-out
If you want your data to be removed from dataset, or have any other questions, please reach out to Sergey Titov: <[email protected]> |