nyuuzyou/gitee-code

Gitee Code Dataset

Dataset Description

This dataset was compiled from code repositories hosted on Gitee, China's largest code hosting platform and a leading alternative to GitHub in the Chinese developer community. Gitee is widely used by Chinese developers, enterprises, and open-source projects, making this dataset particularly valuable for training code models with strong Chinese language understanding and Chinese coding conventions.

Dataset Summary

Key Features

• —Large-scale Chinese code corpus: Contains code from over 3 million repositories, many featuring Chinese comments, documentation, and variable names
• —Diverse language coverage: Spans 554 programming languages identified by go-enry (based on GitHub Linguist rules)
• —Rich metadata: Includes repository name, file path, detected language, license information, and file size
• —Enterprise and open-source projects: Includes code from both individual developers and Chinese enterprises
• —Quality filtered: Extensive filtering to remove vendor code, build artifacts, generated files, and low-quality content

Languages

The dataset includes 554 programming languages. The top 30 languages by file count:

Licenses

The dataset includes files from repositories with various licenses. Repositories with restrictive licenses (CC-BY-ND variants, Commons Clause, SSPL) were excluded:

Dataset Structure

Data Fields

Data Format

• —Format: Apache Parquet with Zstd compression
• —File Structure: 468 files (gitee_0000.parquet to gitee_0467.parquet)

Data Splits

All examples are in the train split. There is no validation or test split.

Example Data Point

{
    'code': 'package com.example.demo;\n\nimport org.springframework.boot.SpringApplication;\n...',
    'repo_name': 'username/spring-demo',
    'path': 'src/main/java/com/example/demo/Application.java',
    'language': 'Java',
    'license': 'apache-2.0',
    'size': 1234
}

Dataset Creation

Pipeline Overview

The dataset was created through a multi-stage pipeline:

1. 1.Repository Discovery
2. 2.Branch Selection: Selecting the main branch for each repository (priority: master > main > develop > dev > first branch)
3. 3.Repository Downloading
4. 4.Content Extraction: Extracting and filtering source code files
5. 5.Parquet Generation: Writing filtered records to Parquet shards with Zstd compression

Language Detection

Programming languages are detected using go-enry, a Go port of GitHub's Linguist library. Only files classified as Programming or Markup language types are included (Data and Prose types are excluded).

License Detection

Licenses are detected by:

1. 1.Scanning for license files (LICENSE, LICENSE.txt, LICENSE.md, COPYING, etc.)
2. 2.Matching license text against known patterns (MIT, Apache 2.0, GPL variants, BSD, Creative Commons, etc.)
3. 3.Defaulting to "unknown" if no license can be detected

Blocked Licenses: The following restrictive licenses are excluded from the dataset:

• —cc-by-nd, cc-by-nd-2.0, cc-by-nd-3.0, cc-by-nd-4.0 (Creative Commons No-Derivatives)
• —commons-clause
• —sspl, sspl-1.0 (Server Side Public License)

File Filtering

Extensive filtering is applied to ensure data quality:

Size Limits

Excluded Directories

• —Configuration: .git/, .github/, .gitlab/, .vscode/, .idea/, .vs/, .settings/, .eclipse/, .project/, .metadata/
• —Vendor/Dependencies: node_modules/, bower_components/, jspm_packages/, vendor/, third_party/, 3rdparty/, external/, packages/, deps/, lib/vendor/, target/dependency/, Pods/
• —Build Output: build/, dist/, out/, bin/, target/, release/, debug/, .next/, .nuxt/, _site/, _build/, __pycache__/, .pytest_cache/, cmake-build-*, .gradle/, .maven/

Excluded Files

• —Lock Files: package-lock.json, yarn.lock, pnpm-lock.yaml, Gemfile.lock, Cargo.lock, poetry.lock, Pipfile.lock, composer.lock, go.sum, mix.lock
• —Minified Files: Any file containing .min. in the name
• —Binary Files: .exe, .dll, .so, .dylib, .a, .lib, .o, .obj, .jar, .war, .ear, .class, .pyc, .pyo, .wasm, .bin, .dat, .pdf, .doc, .docx, .xls, .xlsx, .ppt, .pptx, .zip, .tar, .gz, .bz2, .7z, .rar, .jpg, .jpeg, .png, .gif, .bmp, .ico, .svg, .mp3, .mp4, .avi, .mov, .wav, .flac, .ttf, .otf, .woff, .woff2, .eot
• —System Files: .DS_Store, thumbs.db

Content Filtering

• —UTF-8 Validation: Files must be valid UTF-8 encoded text
• —Binary Detection: Files detected as binary by go-enry are excluded
• —Generated Files: Files with generation markers in the first 500 bytes are excluded:
• —generated by, do not edit, auto-generated, autogenerated, automatically generated, code generator, generated code, this file is generated, @generated, <auto-generated
• —Empty Files: Files that are empty or contain only whitespace are excluded
• —Long Lines: Files with any line exceeding 1,000 characters are excluded
• —go-enry Filters: Additional filtering using go-enry's IsVendor(), IsImage(), IsDotFile(), IsTest(), and IsGenerated() functions
• —Documentation-only Repos: Repositories containing only documentation files (no actual code) are skipped

Source Data

All data originates from public repositories hosted on Gitee.

Considerations for Using the Data

Personal and Sensitive Information

The dataset may contain:

• —Email addresses in code comments or configuration files
• —API keys or credentials that were accidentally committed
• —Personal information in comments or documentation

Users should exercise caution and implement appropriate filtering when using this data.

Licensing Information

This dataset is a collection of source code from repositories with various licenses. Any use of all or part of the code gathered in this dataset must abide by the terms of the original licenses, including attribution clauses when relevant. The license field in each data point indicates the license of the source repository.