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README.md

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+---
+annotations_creators:
+- machine-generated
+language_creators:
+- crowdsourced
+- expert-generated
+language:
+- code
+license: other
+multilinguality:
+- multilingual
+pretty_name: GitFlic Code Dataset
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- text-generation
+task_ids:
+- language-modeling
+---
+
+# Dataset Card for GitFlic Code Dataset
+
+### Dataset Summary
+
+This dataset was compiled from code repositories hosted on the [GitFlic](https://gitflic.ru) platform. GitFlic is the first Russian service for storing and working with source code, based on the Git version control system.
+
+The dataset includes code from **12,527** repositories, spanning **692** 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 **60 GB** of unique code extracted from over **967 GB** of analyzed data. The dataset contains **5,983,358** 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.