perf(docs): modify details about open-source

README.md

@@ -61,7 +61,7 @@ In addition, the Beimingwu system also has the following features:
 - **Diverse Learnware Search**: The Beimingwu system supports both semantic specifications and statistical specifications searches, covering data types such as tables, images, and text. In addition, for table-based tasks, the system also supports the search for heterogeneous table learnwares.
 - **Local Learnware Deployment**: The Beimingwu system provides interfaces for learnware deployment and learnware reuse in the `learnware` Python package, facilitating users' convenient and secure learnware deployment.
 - **Data Privacy Protection**: The Beimingwu system operations, including learnware upload, search, and deployment, do not require users to upload local data. All relevant statistical specifications are generated locally by users, ensuring data privacy.
-- **Fully Open Source**: The Beimingwu system's source code is completely open-source, including the `learnware` Python package and frontend/backend code. The `learnware` package is highly extensible, making it easy to integrate new specification designs, learnware system designs, and learnware reuse methods in the future.
+- **Open Source System**: The Beimingwu system's source code is open-source, including the `learnware` Python package and frontend/backend code. The `learnware` package is highly extensible, making it easy to integrate new specification designs, learnware system designs, and learnware reuse methods in the future.
 
 ## How is Beimingwu organized?
 

README_zh.md

@@ -61,7 +61,7 @@
 - **学件多样查搜**：北冥坞系统同时支持语义规约和统计规约的查搜，覆盖的数据类型包括表格、图像、文本。另外，对于表格型任务，系统额外支持异构表格学件的查搜。
 - **学件本地部署**：北冥坞系统在 `learnware` Python 包中同时提供学件部署与学件复用的接口，帮助用户便捷、安全的部署与复用学件。
 - **数据隐私保护**：北冥坞系统所涉及的学件上传、查搜、部署均无需用户上传本地数据，所有涉及的统计规约均由用户本地生成，确保用户数据隐私。
-- **系统完全开源**：北冥坞系统所有的源码全部开源，包括 `learnware` Python 包与前后端代码。其中 `leanrware` 包高度可扩展，未来新的规约设计、学件系统设计、学件复用方法都能轻松集成进来。
+- **面向社区开源**：北冥坞系统面向社区开源，包括 `learnware` Python 包与前后端代码。其中 `leanrware` 包高度可扩展，未来新的规约设计、学件系统设计、学件复用方法都能轻松集成进来。
 
 ## 北冥坞系统是如何组织的？
 

docs/content/en/index.md

@@ -31,7 +31,7 @@ features:
  - title: Data Privacy Protection
  details: The Beimingwu system ensures data privacy as the uploading, searching, and deployment of learnware doesn't require uploading local data.
  icon: { src: "/icons/data-privacy-protection.svg" }
- - title: Fully Open Source System
+ - title: Open Source System
  details: The Beimingwu system is open source and the learnware package is highly extensible and easy to integrate with new features.
- icon: { src: "/icons/fully-open-source-system.svg" }
+ icon: { src: "/icons/open-source-system.svg" }
 ---

docs/content/en/overview/system-overview.md

@@ -69,6 +69,6 @@ In addition, the Beimingwu system also has the following features:
 - **Diverse Learnware Search**: The Beimingwu system supports both semantic specifications and statistical specifications searches, covering data types such as tables, images, and text. In addition, for table-based tasks, the system also supports the search for heterogeneous table learnwares.
 - **Local Learnware Deployment**: The Beimingwu system provides interfaces for learnware deployment and learnware reuse in the `learnware` Python package, facilitating users' convenient and secure learnware deployment.
 - **Data Privacy Protection**: The Beimingwu system operations, including learnware upload, search, and deployment, do not require users to upload local data. All relevant statistical specifications are generated locally by users, ensuring data privacy.
-- **Fully Open Source**: The Beimingwu system's source code is completely open-source, including the `learnware` Python package and frontend/backend code. The `learnware` package is highly extensible, making it easy to integrate new specification designs, learnware system designs, and learnware reuse methods in the future.
+- **Open Source System**: The Beimingwu system's source code is open-source, including the `learnware` Python package and frontend/backend code. The `learnware` package is highly extensible, making it easy to integrate new specification designs, learnware system designs, and learnware reuse methods in the future.
 
 Beimingwu is the first system-level implementation of the learnware paradigm, and there is still much room for improvement in related technologies. We invite you to experience it and provide valuable feedback for the continuous improvement of the system.

docs/content/en/versions.md

@@ -11,7 +11,7 @@ The Beimingwu learnware dock system v1.0 version is the first system-level imple
 3. **Diverse Learnware Search**: The Beimingwu system supports both semantic specification and statistical specification search, covering data types including tables, images, and text. Additionally, for tabular tasks, the system also supports the search of heterogeneous table learnwares.
 4. **Local Learnware Deployment**: The Beimingwu system provides tools for learnware deployment and reuse in the `learnware` Python package, helping users to deploy and reuse learnwares conveniently and securely.
 5. **Data Privacy Protection**: The learnware uploading, searching, and deployment of the Beimingwu system don't require users to upload local data, and all involved statistical specifications are generated locally by users, ensuring data privacy.
-6. **Fully Open Source System**: All source code of the Beimingwu system, including the `learnware` Python package and frontend and backend codes, are completely open source.
+6. **Open Source System**: The source code of the Beimingwu system, including the `learnware` Python package and frontend and backend codes, are open source.
 
 ### v1.0 R&D Team
 

docs/content/zh-CN/index.md

@@ -31,7 +31,7 @@ features:
  - title: 数据隐私保护
  details: 北冥坞系统涉及的学件上传、查搜、部署均无需用户上传本地数据，确保用户数据隐私。
  icon: { src: "/icons/data-privacy-protection.svg" }
- - title: 系统完全开源
- details: 北冥坞系统所有的源码全部开源，其中的 learnware 包高度可扩展，易于集成新特性和新功能。
- icon: { src: "/icons/fully-open-source-system.svg" }
+ - title: 面向社区开源
+ details: 北冥坞系统面向社区开源，其中的 learnware 包高度可扩展，易于集成新特性和新功能。
+ icon: { src: "/icons/open-source-system.svg" }
 ---

docs/content/zh-CN/overview/system-overview.md

@@ -84,6 +84,6 @@
 - **学件多样查搜**：北冥坞系统同时支持语义规约和统计规约的查搜，覆盖的数据类型包括表格、图像、文本。另外，对于表格型任务，系统额外支持异构表格学件的查搜。
 - **学件本地部署**：北冥坞系统在 `learnware` Python 包中同时提供学件部署与学件复用的接口，帮助用户便捷、安全的部署与复用学件。
 - **数据隐私保护**：北冥坞系统所涉及的学件上传、查搜、部署均无需用户上传本地数据，所有涉及的统计规约均由用户本地生成，确保用户数据隐私。
-- **系统完全开源**：北冥坞系统所有的源码全部开源，包括 `learnware` Python 包与前后端代码。其中 `leanrware` 包高度可扩展，未来新的规约设计、学件系统设计、学件复用方法都能轻松集成进来。
+- **面向社区开源**：北冥坞系统面向社区开源，包括 `learnware` Python 包与前后端代码。其中 `leanrware` 包高度可扩展，未来新的规约设计、学件系统设计、学件复用方法都能轻松集成进来。
 
 北冥坞系统是学件范式的首个系统级实现，相关技术仍有很大的改进空间。我们诚邀各位体验并为系统的持续改进提出宝贵意见。

docs/content/zh-CN/versions.md

@@ -11,7 +11,7 @@
 3. **学件多样查搜**：北冥坞系统同时支持语义规约和统计规约的查搜，覆盖的数据类型包括表格、图像、文本。另外，对于表格型任务，系统额外支持异构表格学件的查搜。
 4. **学件本地部署**：北冥坞系统在 `learnware` Python 包中同时提供学件部署与学件复用的接口，帮助用户便捷、安全的部署与复用学件。
 5. **数据隐私保护**：北冥坞系统所涉及的学件上传、查搜、部署均无需用户上传本地数据，所有涉及的统计规约均由用户本地生成，确保用户数据隐私。
-6. **系统完全开源**：北冥坞系统所有的源码全部开源，包括 `learnware` Python 包与前后端代码。
+6. **面向社区开源**：北冥坞系统面向社区开源，包括 `learnware` Python 包与前后端代码。
 
 ### v1.0 研发团队
 

frontend/packages/locale/src/en/home.ts

@@ -63,9 +63,9 @@ export default {
  "Providing task statistics helps match user's needs or models more effectively. The statistical specification shares task statistics without exposing original data. This generation is local and the code is open source.",
  },
  OpenSource: {
- Name: "Beimingwu is completely open source",
+ Name: "Beimingwu is open source to the community",
  Description:
- "Beimingwu is the first fully open-source model platform, offering various deployment options. We warmly welcome the community to try and collaboratively enhance the system.",
+ "Beimingwu is the first open-source model platform, offering various deployment options. We warmly welcome the community to try and collaboratively enhance the system.",
  },
  },
  Why: {

frontend/packages/locale/src/zh-cn/home.ts

@@ -63,9 +63,9 @@ export default {
  "如果用户可以提供任务的统计信息，这将帮助用户的需求或者模型被更好的匹配。统计规约可以在保护用户原始数据不被泄露的情况下提供任务的统计信息。生成统计规约的过程在本地进行且代码公开。",
  },
  OpenSource: {
- Name: "北冥坞系统完全开源",
+ Name: "北冥坞面向社区开源",
  Description:
- "北冥坞系统是首个完全开源的模型平台，引擎、前端、后端完全开源，支持多种部署方式。我们诚邀社区体验使用系统并共同开发完善系统。",
+ "北冥坞系统是首个开源的模型平台，引擎、前端、后端全部开源，支持多种部署方式。我们诚邀社区体验使用系统并共同开发完善系统。",
  },
  },
  Why: {