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news/news.yaml

@@ -1,16 +1,22 @@
 meta:
   resource: news
-  version: "1.1"
+  version: "1.2"
 items:
   - id: "news-20260415-001"
     date: "2026-04-15"
     title:
-      zh: "RoboCOIN 新发布 200 + 数据集，开放下载助力具身智能研究"
+      zh: "RoboCOIN 新发布 200+ 数据集，开放下载助力具身智能研究"
       en: "RoboCOIN Released 200+ New Datasets to Advance Embodied AI Research"
     content:
       zh: |
-        RoboCOIN 预计每月发布一次高质量双臂机器人操作数据集。2026 年 3 月成功发布 200 + 高质量数据集，涵盖多种场景、任务和机器人平台（Aloha/Airbot_MMK2/Galaxea/Unitree）的操作数据。这些数据集包含多视角视觉观察、机器人状态与动作数据，适用于双臂操作学习、多模态感知与控制等具身智能研究方向。截至今日，累积数据集下载量已突破 400 万次，持续为全球具身智能研究提供高质量数据支撑。
+        <p>RoboCOIN 预计每月发布一次高质量双臂机器人操作数据集。</p>
+        <p>2026 年 3 月成功发布 <strong>200+</strong> 高质量数据集，涵盖多种场景、任务和机器人平台（<strong>Aloha</strong> / <strong>Airbot_MMK2</strong> / <strong>Galaxea</strong> / <strong>Unitree</strong>）的操作数据。</p>
+        <p>这些数据集包含多视角视觉观察、机器人状态与动作数据，适用于双臂操作学习、多模态感知与控制等具身智能研究方向。</p>
+        <p>截至今日，累积数据集下载量已突破 <strong>400 万次</strong>，持续为全球具身智能研究提供高质量数据支撑。</p>
       en: |
-        RoboCOIN plans to release high-quality dual-arm robot manipulation datasets on a monthly basis. In March 2026, we successfully released over 200 high-quality datasets covering diverse scenarios, tasks, and robot platforms (Aloha/Airbot_MMK2/Galaxea/Unitree). These datasets include multi-view visual observations, robot states, and action data, and are suitable for embodied AI research topics such as dual-arm manipulation learning, multimodal perception, and control. As of today, cumulative dataset downloads have exceeded 4 million, continuously providing high-quality data support for the global embodied AI community.
+        <p>RoboCOIN plans to release high-quality dual-arm robot manipulation datasets on a monthly basis.</p>
+        <p>In March 2026, we successfully released <strong>200+</strong> high-quality datasets covering diverse scenarios, tasks, and robot platforms (<strong>Aloha</strong> / <strong>Airbot_MMK2</strong> / <strong>Galaxea</strong> / <strong>Unitree</strong>).</p>
+        <p>These datasets include multi-view visual observations, robot states, and action data, and are suitable for embodied AI research topics such as dual-arm manipulation learning, multimodal perception, and control.</p>
+        <p>As of today, cumulative dataset downloads have exceeded <strong>4 million</strong>, continuously providing high-quality data support for the global embodied AI community.</p>
     status: "published"
-    committed_by: "RoboCOIN Team"
+    committed_by: "RoboCOIN Team"