Datasets:

nyuuzyou
/

gitee-code

annotations_creators:
  - machine-generated
language_creators:
  - found
language:
  - code
  - zh
  - en
license: other
multilinguality:
  - multilingual
pretty_name: Gitee Code Dataset
size_categories:
  - 100M<n<1B
source_datasets:
  - original
task_categories:
  - text-generation
tags:
  - code
  - chinese
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.parquet
    default: true
dataset_info:
  features:
    - name: code
      dtype: string
    - name: repo_name
      dtype: string
    - name: path
      dtype: string
    - name: language
      dtype: string
    - name: license
      dtype: string
    - name: size
      dtype: int64

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

Statistic	Value
Total Files	819,472,785
Total Repositories	3,105,923
Total Size	536 GB (compressed Parquet)
Programming Languages	554
File Format	Parquet with Zstd compression (468 files)

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:

Rank	Language	File Count
1	Java	293,439,777
2	JavaScript	77,715,425
3	C	62,836,721
4	C++	49,134,251
5	HTML	46,191,063
6	Vue	40,468,646
7	PHP	37,132,954
8	C#	33,842,369
9	Python	25,192,704
10	CSS	20,802,464
11	TypeScript	20,122,528
12	Go	16,176,561
13	Shell	8,371,429
14	Makefile	6,341,964
15	Java Server Pages	6,224,523
16	TSX	5,768,542
17	CMake	5,581,774
18	SCSS	5,291,031
19	Objective-C	4,922,736
20	Less	4,669,672
21	Ruby	3,027,385
22	Kotlin	2,986,211
23	Scala	2,869,640
24	Rust	2,466,122
25	Starlark	2,027,514
26	Dart	2,010,079
27	Unix Assembly	1,900,320
28	Fluent	1,882,380
29	HTML+Razor	1,863,914
30	Swift	1,607,477

Licenses

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

License	File Count
apache-2.0	273,706,950
mit	201,880,040
unknown	195,868,240
agpl-3.0	60,181,320
bsd	30,013,190
gpl-2.0	27,831,530
lgpl-3.0	11,746,750
lgpl-2.1	4,807,600
bsd-3-clause	4,442,480
cc0-1.0	3,144,920
gpl-3.0	1,631,590
unlicense	1,181,930
bsd-2-clause	1,154,300
epl-1.0	1,045,470
Other licenses	~5,800,000

Dataset Structure

Data Fields

Field	Type	Description
`code`	string	Content of the source file (UTF-8 encoded)
`repo_name`	string	Name of the Gitee repository (format: `username/repo`)
`path`	string	Path of the file within the repository (relative to repo root)
`language`	string	Programming language as identified by go-enry
`license`	string	License of the repository (SPDX identifier or "unknown")
`size`	int64	Size of the source file in bytes

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:

Repository Discovery
Branch Selection: Selecting the main branch for each repository (priority: master > main > develop > dev > first branch)
Repository Downloading
Content Extraction: Extracting and filtering source code files
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:

Scanning for license files (LICENSE, LICENSE.txt, LICENSE.md, COPYING, etc.)
Matching license text against known patterns (MIT, Apache 2.0, GPL variants, BSD, Creative Commons, etc.)
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

Limit	Value
Max repository ZIP size	48 MB
Max single file size	1 MB
Max line length	1,000 characters

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.