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---
annotations_creators:
- machine-generated
language_creators:
- crowdsourced
- expert-generated
language:
- code
license: other
multilinguality:
- multilingual
pretty_name: Mos.Hub Code Dataset
size_categories:
- 10M<n<100M
source_datasets:
- original
task_categories:
- text-generation
task_ids:
- language-modeling
---
# Dataset Card for Mos.Hub Code Dataset
### Dataset Summary
This dataset was compiled from code repositories hosted on the [hub.mos.ru](https://hub.mos.ru) platform (Mos.Hub). Mos.Hub is a service for storing and working with source code, based on the Git version control system.
The dataset includes code from **16,130** repositories, spanning **304** different file types as identified by [github-linguist](https://github.com/github-linguist/linguist). It has been deduplicated and filtered to remove binary files, resulting in **32 GB** of unique code extracted from over **794 GB** of analyzed data. The dataset contains **15,740,822** unique code files processed. Each entry in the dataset represents a single file, including its content, identified language, and a unique filename.
### Languages
The dataset includes multiple programming languages, with the specific language of each file identified using [github-linguist](https://github.com/github-linguist/linguist).
## Dataset Structure
### Data Fields
This dataset includes the following fields:
- `file_text`: The full text content of the file (string)
- `language`: The programming language of the file, as identified by [github-linguist](https://github.com/github-linguist/linguist) (string)
- `file_name`: A unique identifier for the file within the dataset (string)
### Data Splits
All examples are in the train split. There is no validation split.
## Additional Information
### Dataset Curators
- [nyuuzyou](https://ducks.party)
### Ethical Considerations
This dataset has been compiled with an analysis of the licenses used in the repositories to ensure ethical collection and use of the data. Users of this dataset should respect the rights of the authors and use the data responsibly. |