feat: add zh-Hans to docs home

docs_roll/i18n/en/docusaurus-plugin-content-blog/options.json

@@ -0,0 +1,14 @@
+{
+  "title": {
+    "message": "Blog",
+    "description": "The title for the blog used in SEO"
+  },
+  "description": {
+    "message": "Blog",
+    "description": "The description for the blog used in SEO"
+  },
+  "sidebar.title": {
+    "message": "Recent posts",
+    "description": "The label for the left sidebar"
+  }
+}

docs_roll/i18n/en/docusaurus-plugin-content-docs/current.json

@@ -0,0 +1,42 @@
+{
+  "version.label": {
+    "message": "Next",
+    "description": "The label for version current"
+  },
+  "sidebar.tutorialSidebar.category.DesignImplementation": {
+    "message": "DesignImplementation",
+    "description": "The label for category 'DesignImplementation' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.DevelopmentGuide": {
+    "message": "DevelopmentGuide",
+    "description": "The label for category 'DevelopmentGuide' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.QuickStart": {
+    "message": "QuickStart",
+    "description": "The label for category 'QuickStart' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.UserGuide": {
+    "message": "UserGuide",
+    "description": "The label for category 'UserGuide' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.agentic": {
+    "message": "agentic",
+    "description": "The label for category 'agentic' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.algorithms": {
+    "message": "algorithms",
+    "description": "The label for category 'algorithms' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.ascend": {
+    "message": "ascend",
+    "description": "The label for category 'ascend' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.backend": {
+    "message": "backend",
+    "description": "The label for category 'backend' in sidebar 'tutorialSidebar'"
+  },
+  "sidebar.tutorialSidebar.category.pipeline": {
+    "message": "pipeline",
+    "description": "The label for category 'pipeline' in sidebar 'tutorialSidebar'"
+  }
+}

docs_roll/i18n/en/docusaurus-theme-classic/footer.json

@@ -0,0 +1,34 @@
+{
+  "link.title.Examples": {
+    "message": "Examples",
+    "description": "The title of the footer links column with title=Examples in the footer"
+  },
+  "link.title.Community": {
+    "message": "Community",
+    "description": "The title of the footer links column with title=Community in the footer"
+  },
+  "link.title.More": {
+    "message": "More",
+    "description": "The title of the footer links column with title=More in the footer"
+  },
+  "link.item.label.ROLL单机实践手册": {
+    "message": "Single Node Quick Start",
+    "description": "The label of footer link with label=ROLL单机实践手册 linking to /docs/QuickStart/single_node_quick_start"
+  },
+  "link.item.label.配置指南": {
+    "message": "Config Guide",
+    "description": "The label of footer link with label=配置指南 linking to /docs/QuickStart/config_guide"
+  },
+  "link.item.label.Stack Overflow": {
+    "message": "Stack Overflow",
+    "description": "The label of footer link with label=Stack Overflow linking to https://stackoverflow.com/questions/tagged/docusaurus"
+  },
+  "link.item.label.GitHub": {
+    "message": "GitHub",
+    "description": "The label of footer link with label=GitHub linking to https://github.com/alibaba/ROLL"
+  },
+  "copyright": {
+    "message": "Copyright © 2025 Alibaba.",
+    "description": "The footer copyright"
+  }
+}

docs_roll/i18n/en/docusaurus-theme-classic/navbar.json

@@ -0,0 +1,30 @@
+{
+  "title": {
+    "message": "ROLL",
+    "description": "The title in the navbar"
+  },
+  "logo.alt": {
+    "message": "ROLL Logo",
+    "description": "The alt text of navbar logo"
+  },
+  "item.label.Home": {
+    "message": "Home",
+    "description": "Navbar item with label Home"
+  },
+  "item.label.Core Algorithms": {
+    "message": "Core Algorithms",
+    "description": "Navbar item with label Core Algorithms"
+  },
+  "item.label.Research Community": {
+    "message": "Research Community",
+    "description": "Navbar item with label Research Community"
+  },
+  "item.label.API Docs": {
+    "message": "API Docs",
+    "description": "Navbar item with label API Docs"
+  },
+  "item.label.GitHub": {
+    "message": "GitHub",
+    "description": "Navbar item with label GitHub"
+  }
+}

docs_roll/i18n/zh-Hans/code.json

@@ -360,5 +360,125 @@
   "theme.tags.tagsPageTitle": {
     "message": "标签",
     "description": "The title of the tag list page"
+  },
+  "like a Reinforcement Learning Algorithm Developer": {
+    "message": "像一名强化学习算法开发者一样"
+  },
+  "Home": {
+    "message": "首页"
+  },
+  "Core Algorithms": {
+    "message": "核心算法"
+  },
+  "Research Community": {
+    "message": "开源社区"
+  },
+  "API Docs": {
+    "message": "文档"
+  },
+  "Open Source Framework · Powerful & Easy": {
+    "message": "开源框架 · 强大且易用"
+  },
+  "An open-source reinforcement learning library by Alibaba, optimized for large-scale language models. Supporting distributed training, multi-task learning, and agent interaction for simpler and more efficient AI model training.": {
+    "message": "阿里巴巴开源的强化学习库，专为大语言模型优化。支持分布式训练、多任务学习与智能体交互，让 AI 模型训练更简单、更高效。"
+  },
+  "Framework Overview": {
+    "message": "框架概览"
+  },
+  "ROLL (Reinforcement Learning Optimization for Large-scale Learning) is an open-source reinforcement learning framework by Alibaba, designed for large-scale language models. Built on Ray distributed architecture, supporting mainstream algorithms like PPO and GRPO, providing complete solutions from research to production.": {
+    "message": "ROLL（面向大规模学习的强化学习优化框架，Reinforcement Learning Optimization for Large-scale Learning）是阿里巴巴开源的强化学习框架，专为大语言模型设计。基于 Ray 分布式架构构建，支持 PPO、GRPO 等主流算法，提供从研究到生产的完整解决方案。"
+  },
+  "Why": {
+    "message": "为什么"
+  },
+  "Choose ROLL": {
+    "message": "选择 ROLL"
+  },
+  "Distributed Architecture": {
+    "message": "分布式框架"
+  },
+  "Ray-based distributed architecture supporting mainstream engines like vLLM, SGLang, Megatron-Core, seamlessly scaling from single machine to large GPU clusters": {
+    "message": "基于 Ray 的分布式架构，支持 vLLM、SGLang、Megatron-Core 等主流推理引擎，可无缝扩展，从单机环境平滑伸缩至大规模 GPU 集群。"
+  },
+  "Multi-task Learning": {
+    "message": "多任务学习"
+  },
+  "Support for multi-task joint training including math reasoning, code generation, and dialogue, with dynamic sampling rate and data weight adjustment": {
+    "message": "支持数学推理、代码生成和对话等多任务联合训练，具备动态采样率与数据权重调整能力。"
+  },
+  "Extremely Easy to Use": {
+    "message": "开箱即用"
+  },
+  "Gym-style clean API design with modular architecture for flexible extension, one-click switching between different backend engines and algorithm configurations": {
+    "message": "采用 Gym 风格的简洁 API 设计，结合模块化架构以支持灵活扩展，可一键切换不同后端引擎与算法配置。"
+  },
+  "Core Advantages": {
+    "message": "核心优势"
+  },
+  "ROLL framework provides comprehensive reinforcement learning support, from model training to agent deployment, every aspect is carefully optimized to make AI training more efficient": {
+    "message": "ROLL 框架提供全面的强化学习支持，涵盖从模型训练到智能体部署的全流程，每个环节均经过精心优化，让 AI 训练更高效。"
+  },
+  "Born for Scale": {
+    "message": "为规模化而生"
+  },
+  "Built on a Ray-based distributed architecture, it supports large-scale cluster training at the thousand-GPU level. Its innovative Rollout scheduler and AutoDeviceMapping module dramatically improve GPU resource utilization .": {
+    "message": "基于 Ray 的分布式架构构建，支持千卡 GPU 级别的大规模集群训练。其创新的 Rollout 调度器与 AutoDeviceMapping 模块显著提升了 GPU 资源利用率。"
+  },
+  "Extreme Training Efficiency": {
+    "message": "极致训练效率"
+  },
+  "Integrates cutting-edge technologies like Megatron-Core, SGLang, and vLLM to significantly accelerate the model training and inference sampling processes .": {
+    "message": "集成 Megatron-Core、SGLang 和 vLLM 等前沿技术，显著加速模型训练与推理采样过程。"
+  },
+  "Rich Algorithms & Scenarios": {
+    "message": "丰富的算法与场景支持"
+  },
+  "Comes with built-in mainstream RL algorithms like PPO and GRPO, and supports multi-task RL and agent interaction scenarios. Its effectiveness has been validated in numerous real-world business applications .": {
+    "message": "内置 PPO、GRPO 等主流强化学习算法，支持多任务强化学习与智能体交互场景，并已在众多实际业务应用中验证其有效性。"
+  },
+  "Open Source and Accessible": {
+    "message": "开源易用"
+  },
+  "ROLL is open-sourced on GitHub (https://github.com/alibaba/ROLL) under the Apache License 2.0, backed by an active community and comprehensive documentation .": {
+    "message": "ROLL 已在 GitHub（https://github.com/alibaba/ROLL）上开源，采用 Apache License 2.0 许可证，并由活跃的社区和完善的文档提供支持。"
+  },
+  "Open Source Community": {
+    "message": "开源社区"
+  },
+  "Join our vibrant open source community, explore cutting-edge reinforcement learning technologies with global AI researchers, and jointly promote the future of LLM and RL": {
+    "message": "加入我们充满活力的开源社区，与全球 AI 研究者共同探索前沿强化学习技术，携手推动大语言模型与强化学习的未来发展。"
+  },
+  "How to Contribute": {
+    "message": "如何贡献"
+  },
+  "Contribute algorithm implementations and performance optimizations": {
+    "message": "贡献算法实现与性能优化"
+  },
+  "Share experimental results and best practices": {
+    "message": "分享实验结果与最佳实践"
+  },
+  "Improve tutorials and learning resources": {
+    "message": "完善教程与学习资源"
+  },
+  "Join Discussion": {
+    "message": "参与讨论"
+  },
+  "WeChat": {
+    "message": "微信群"
+  },
+  "Follow GitHub Repository": {
+    "message": "关注 GitHub 仓库"
+  },
+  "Get Started >": {
+    "message": "快速入门 >"
+  },
+  "Github Stars": {
+    "message": "Github星标"
+  },
+  "Contributors": {
+    "message": "贡献者"
+  },
+  "Commits": {
+    "message": "提交"
   }
-}
+}