diff --git a/runtime/datamate-python/app/db/models/annotation_management.py b/runtime/datamate-python/app/db/models/annotation_management.py
index 4003dbb..ea60afb 100644
--- a/runtime/datamate-python/app/db/models/annotation_management.py
+++ b/runtime/datamate-python/app/db/models/annotation_management.py
@@ -8,17 +8,18 @@ from app.db.session import Base
 
 class AnnotationTemplate(Base):
     """标注配置模板模型"""
-    
+
     __tablename__ = "t_dm_annotation_templates"
-    
+
     id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="UUID")
     name = Column(String(100), nullable=False, comment="模板名称")
     description = Column(String(500), nullable=True, comment="模板描述")
-    data_type = Column(String(50), nullable=False, comment="数据类型: image/text/audio/video/timeseries")
-    labeling_type = Column(String(50), nullable=False, comment="标注类型: classification/detection/segmentation/ner/relation/etc")
+    data_type = Column(String(50), nullable=False, comment="数据类型: image/text/audio/video/timeseries/pdf/chat/html/table")
+    labeling_type = Column(String(50), nullable=False, comment="标注类型: asr/ner/object-detection/等")
     configuration = Column(JSON, nullable=False, comment="标注配置（包含labels定义等）")
+    label_config = Column(Text, nullable=True, comment="Label Studio XML配置（内置模板预定义，自定义模板自动生成）")
     style = Column(String(32), nullable=False, comment="样式配置: horizontal/vertical")
-    category = Column(String(50), default='custom', comment="模板分类: medical/general/custom/system")
+    category = Column(String(50), default='custom', comment="模板分类: audio-speech/chat/computer-vision/nlp/等")
     built_in = Column(Boolean, default=False, comment="是否系统内置模板")
     version = Column(String(20), default='1.0', comment="模板版本")
     created_at = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="创建时间")
@@ -33,10 +34,10 @@ class AnnotationTemplate(Base):
         """检查是否已被软删除"""
         return self.deleted_at is not None
     
-class LabelingProject(Base):
-    """标注项目模型"""
-    
-    __tablename__ = "t_dm_labeling_projects"
+class LabelingProject(Base):
+    """标注项目模型"""
+    
+    __tablename__ = "t_dm_labeling_projects"
     
     id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="UUID")
     dataset_id = Column(String(36), nullable=False, comment="数据集ID")
@@ -53,29 +54,29 @@ class LabelingProject(Base):
         return f"<LabelingProject(id={self.id}, name={self.name}, dataset_id={self.dataset_id})>"
     
     @property
-    def is_deleted(self) -> bool:
-        """检查是否已被软删除"""
-        return self.deleted_at is not None
-
-
-class AnnotationResult(Base):
-    """标注结果模型（单人单份最终标签，Label Studio annotation 原始 JSON）"""
-
-    __tablename__ = "t_dm_annotation_results"
-
-    id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="UUID")
-    project_id = Column(String(36), nullable=False, comment="标注项目ID（t_dm_labeling_projects.id）")
-    file_id = Column(String(36), nullable=False, comment="文件ID（t_dm_dataset_files.id）")
-    annotation = Column(JSON, nullable=False, comment="Label Studio annotation 原始JSON（单人单份最终结果）")
-    created_at = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="创建时间")
-    updated_at = Column(TIMESTAMP, server_default=func.current_timestamp(), onupdate=func.current_timestamp(), comment="更新时间")
-
-    def __repr__(self):
-        return f"<AnnotationResult(id={self.id}, project_id={self.project_id}, file_id={self.file_id})>"
-
-
-class AutoAnnotationTask(Base):
-    """自动标注任务模型，对应表 t_dm_auto_annotation_tasks"""
+    def is_deleted(self) -> bool:
+        """检查是否已被软删除"""
+        return self.deleted_at is not None
+
+
+class AnnotationResult(Base):
+    """标注结果模型（单人单份最终标签，Label Studio annotation 原始 JSON）"""
+
+    __tablename__ = "t_dm_annotation_results"
+
+    id = Column(String(36), primary_key=True, default=lambda: str(uuid.uuid4()), comment="UUID")
+    project_id = Column(String(36), nullable=False, comment="标注项目ID（t_dm_labeling_projects.id）")
+    file_id = Column(String(36), nullable=False, comment="文件ID（t_dm_dataset_files.id）")
+    annotation = Column(JSON, nullable=False, comment="Label Studio annotation 原始JSON（单人单份最终结果）")
+    created_at = Column(TIMESTAMP, server_default=func.current_timestamp(), comment="创建时间")
+    updated_at = Column(TIMESTAMP, server_default=func.current_timestamp(), onupdate=func.current_timestamp(), comment="更新时间")
+
+    def __repr__(self):
+        return f"<AnnotationResult(id={self.id}, project_id={self.project_id}, file_id={self.file_id})>"
+
+
+class AutoAnnotationTask(Base):
+    """自动标注任务模型，对应表 t_dm_auto_annotation_tasks"""
 
     __tablename__ = "t_dm_auto_annotation_tasks"
 
@@ -108,4 +109,4 @@ class AutoAnnotationTask(Base):
     @property
     def is_deleted(self) -> bool:
         """检查是否已被软删除"""
-        return self.deleted_at is not None
+        return self.deleted_at is not None
diff --git a/runtime/datamate-python/app/module/annotation/service/template.py b/runtime/datamate-python/app/module/annotation/service/template.py
index ed7dce8..478bd4f 100644
--- a/runtime/datamate-python/app/module/annotation/service/template.py
+++ b/runtime/datamate-python/app/module/annotation/service/template.py
@@ -333,10 +333,10 @@ class AnnotationTemplateService:
     def _to_response(self, template: AnnotationTemplate) -> AnnotationTemplateResponse:
         """
         转换为响应对象
-        
+
         Args:
             template: 数据库模型对象
-            
+
         Returns:
             模板响应对象
         """
@@ -344,13 +344,16 @@ class AnnotationTemplateService:
         from typing import cast, Dict, Any
         config_dict = cast(Dict[str, Any], template.configuration)
         config = TemplateConfiguration(**config_dict)
-        
-        # 动态生成Label Studio XML配置
-        label_config = self.generate_label_studio_config(config)
-        
+
+        # 优先使用预定义的 label_config，否则动态生成
+        if template.label_config:
+            label_config = template.label_config
+        else:
+            label_config = self.generate_label_studio_config(config)
+
         # 使用model_validate从ORM对象创建响应对象
         response = AnnotationTemplateResponse.model_validate(template)
         response.configuration = config
         response.label_config = label_config  # type: ignore
-        
+
         return response
diff --git a/scripts/db/data-annotation-init.sql b/scripts/db/data-annotation-init.sql
index 55be49c..667a84c 100644
--- a/scripts/db/data-annotation-init.sql
+++ b/scripts/db/data-annotation-init.sql
@@ -1,25 +1,36 @@
-use datamate;
-
-CREATE TABLE t_dm_annotation_templates (
-    id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
-    name VARCHAR(100) NOT NULL COMMENT '模板名称',
-    description VARCHAR(500) COMMENT '模板描述',
-    data_type VARCHAR(50) NOT NULL COMMENT '数据类型: image/text/audio/video/timeseries',
-    labeling_type VARCHAR(50) NOT NULL COMMENT '标注类型: classification/detection/segmentation/ner/relation/etc',
-    configuration JSON NOT NULL COMMENT '标注配置（包含labels定义等）',
-    style VARCHAR(32) NOT NULL COMMENT '样式配置: horizontal/vertical',
-    category VARCHAR(50) DEFAULT 'custom' COMMENT '模板分类: medical/general/custom/system',
-    built_in BOOLEAN DEFAULT FALSE COMMENT '是否系统内置模板',
-    version VARCHAR(20) DEFAULT '1.0' COMMENT '模板版本',
-    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
-    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
-    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）',
-    INDEX idx_data_type (data_type),
-    INDEX idx_labeling_type (labeling_type),
-    INDEX idx_category (category),
-    INDEX idx_built_in (built_in)
-) COMMENT='标注配置模板表';
-
+-- 数据标注服务数据库初始化脚本
+-- 适用于 datamate 数据库
+-- 基于 Label Studio 模板体系设计
+
+USE datamate;
+
+-- =====================================
+-- DDL语句 - 数据库表结构定义
+-- =====================================
+
+-- 标注配置模板表
+CREATE TABLE t_dm_annotation_templates (
+    id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
+    name VARCHAR(100) NOT NULL COMMENT '模板名称',
+    description VARCHAR(500) COMMENT '模板描述',
+    data_type VARCHAR(50) NOT NULL COMMENT '数据类型: text/image/audio/video/pdf/timeseries/chat/html/table',
+    labeling_type VARCHAR(50) NOT NULL COMMENT '标注类型',
+    configuration JSON NOT NULL COMMENT '标注配置（包含labels定义等）',
+    label_config TEXT COMMENT 'Label Studio XML配置（内置模板预定义）',
+    style VARCHAR(32) NOT NULL COMMENT '样式配置: horizontal/vertical',
+    category VARCHAR(50) DEFAULT 'custom' COMMENT '模板分类',
+    built_in BOOLEAN DEFAULT FALSE COMMENT '是否系统内置模板',
+    version VARCHAR(20) DEFAULT '1.0' COMMENT '模板版本',
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
+    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）',
+    INDEX idx_data_type (data_type),
+    INDEX idx_labeling_type (labeling_type),
+    INDEX idx_category (category),
+    INDEX idx_built_in (built_in)
+) COMMENT='标注配置模板表';
+
+-- 标注项目表
 CREATE TABLE t_dm_labeling_projects (
     id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
     dataset_id VARCHAR(36) NOT NULL COMMENT '数据集ID',
@@ -37,479 +48,1464 @@ CREATE TABLE t_dm_labeling_projects (
     INDEX idx_labeling_project_id (labeling_project_id)
 ) COMMENT='标注项目表';
 
--- 标注结果表（单人单份最终标签，存储 Label Studio annotation 原始 JSON）
--- 设计说明：
--- 1) project_id 复用 t_dm_labeling_projects.id（DataMate 内部标注项目ID）
--- 2) file_id 复用 t_dm_dataset_files.id（数据集文件ID）
--- 3) annotation 字段存 Label Studio annotation 对象（包含 result 等），不做降维转换
-CREATE TABLE IF NOT EXISTS t_dm_annotation_results (
+-- 标注结果表
+CREATE TABLE t_dm_annotation_results (
     id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
-    project_id VARCHAR(36) NOT NULL COMMENT '标注项目ID（t_dm_labeling_projects.id）',
-    file_id VARCHAR(36) NOT NULL COMMENT '文件ID（t_dm_dataset_files.id）',
-    annotation JSON NOT NULL COMMENT 'Label Studio annotation 原始JSON（单人单份最终结果）',
+    project_id VARCHAR(36) NOT NULL COMMENT '标注项目ID',
+    file_id VARCHAR(36) NOT NULL COMMENT '文件ID',
+    annotation JSON NOT NULL COMMENT 'Label Studio annotation 原始JSON',
     created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
     UNIQUE KEY uk_project_file (project_id, file_id),
     INDEX idx_project_id (project_id),
     INDEX idx_file_id (file_id),
     INDEX idx_updated_at (updated_at)
-) COMMENT='标注结果表（Label Studio兼容，单人单份）';
+) COMMENT='标注结果表';
 
 -- 自动标注任务表
 CREATE TABLE t_dm_auto_annotation_tasks (
     id VARCHAR(36) PRIMARY KEY COMMENT 'UUID',
     name VARCHAR(255) NOT NULL COMMENT '任务名称',
-    dataset_id VARCHAR(36) NOT NULL COMMENT '数据集ID',
-    dataset_name VARCHAR(255) COMMENT '数据集名称（冗余字段，方便查询）',
-    config JSON NOT NULL COMMENT '任务配置（模型规模、置信度等）',
-    file_ids JSON COMMENT '要处理的文件ID列表，为空则处理数据集所有图像',
-    status VARCHAR(50) NOT NULL DEFAULT 'pending' COMMENT '任务状态: pending/running/completed/failed',
-    progress INT DEFAULT 0 COMMENT '任务进度 0-100',
-    total_images INT DEFAULT 0 COMMENT '总图片数',
-    processed_images INT DEFAULT 0 COMMENT '已处理图片数',
-    detected_objects INT DEFAULT 0 COMMENT '检测到的对象总数',
-    output_path VARCHAR(500) COMMENT '输出路径',
-    error_message TEXT COMMENT '错误信息',
-    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
-    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
-    completed_at TIMESTAMP NULL COMMENT '完成时间',
-    deleted_at TIMESTAMP NULL COMMENT '删除时间（软删除）',
-    INDEX idx_dataset_id (dataset_id),
-    INDEX idx_status (status),
-    INDEX idx_created_at (created_at)
-) COMMENT='自动标注任务表';
-
-
--- 内置标注模板初始化数据
--- 这些模板将在系统首次启动时自动创建
--- 使用 INSERT ... ON DUPLICATE KEY UPDATE 来覆盖已存在的记录
-
--- 1. 图像分类模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-image-classification-001',
-    '图像分类',
-    '简单的多标签图像分类模板',
-    '图像',
-    '分类',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'choice',
-                'toName', 'image',
-                'type', 'Choices',
-                'options', JSON_ARRAY('Cat', 'Dog', 'Bird', 'Other'),
-                'required', true,
-                'description', '选择最符合图像内容的标签'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'image',
-                'type', 'Image',
-                'value', '$image'
-            )
-        )
-    ),
-    'horizontal',
-    '计算机视觉',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 2. 目标检测模板（矩形框）
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-object-detection-001',
-    '目标检测（边界框）',
-    '使用矩形边界框进行目标检测',
-    '图像',
-    '目标检测',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'label',
-                'toName', 'image',
-                'type', 'RectangleLabels',
-                'labels', JSON_ARRAY('Person', 'Vehicle', 'Animal', 'Object'),
-                'required', false,
-                'description', '在图像中框出目标并标注类别'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'image',
-                'type', 'Image',
-                'value', '$image'
-            )
-        )
-    ),
-    'horizontal',
-    '计算机视觉',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 3. 图像分割模板（多边形）
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-image-segmentation-001',
-    '图像分割（多边形）',
-    '使用多边形标注进行语义分割',
-    '图像',
-    '分割',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'label',
-                'toName', 'image',
-                'type', 'PolygonLabels',
-                'labels', JSON_ARRAY('Background', 'Foreground', 'Person', 'Car'),
-                'required', false,
-                'description', '使用多边形框选需要分割的区域'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'image',
-                'type', 'Image',
-                'value', '$image'
-            )
-        )
-    ),
-    'horizontal',
-    '计算机视觉',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 4. 文本分类模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-text-classification-001',
-    '文本情感分类',
-    '将文本中表达的情感划分到预定义的类别',
-    '文本',
-    '分类',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'choice',
-                'toName', 'text',
-                'type', 'Choices',
-                'options', JSON_ARRAY('Positive', 'Negative', 'Neutral'),
-                'required', true,
-                'description', '对文本的情感或类别进行选择'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'text',
-                'type', 'Text',
-                'value', '$text'
-            )
-        )
-    ),
-    'vertical',
-    '自然语言处理',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 5. 命名实体识别（NER）
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-ner-001',
-    '命名实体识别',
-    '从文本中抽取并标注命名实体',
-    '文本',
-    '实体识别',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'label',
-                'toName', 'text',
-                'type', 'Labels',
-                'labels', JSON_ARRAY('PERSON', 'ORG', 'LOC', 'DATE', 'MISC'),
-                'required', false,
-                'description', '在文本中标注人物、地点等实体'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'text',
-                'type', 'Text',
-                'value', '$text'
-            )
-        )
-    ),
-    'vertical',
-    '自然语言处理',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 6. 音频分类模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-audio-classification-001',
-    '音频分类',
-    '将音频片段划分到不同类别',
-    '音频',
-    '分类',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'choice',
-                'toName', 'audio',
-                'type', 'Choices',
-                'options', JSON_ARRAY('Speech', 'Music', 'Noise', 'Silence'),
-                'required', true,
-                'description', '选择音频片段对应的类别'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'audio',
-                'type', 'Audio',
-                'value', '$audio'
-            )
-        )
-    ),
-    'horizontal',
-    '音频',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 7. 文本多标签分类模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-text-multilabel-001',
-    '文本多标签分类',
-    '可为文本选择多个标签，适用于主题、内容类别等多标签任务',
-    '文本',
-    '分类',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'labels',
-                'toName', 'text',
-                'type', 'Choices',
-                'options', JSON_ARRAY('Sports','Politics','Tech','Entertainment'),
-                'required', true,
-                'choice', 'multiple',
-                'description', '可选择多个标签'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'text',
-                'type', 'Text',
-                'value', '$text'
-            )
-        )
-    ),
-    'vertical',
-    '自然语言处理',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
-
--- 8. 文本摘要模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-text-summarization-001',
-    '文本摘要',
-    '根据原文撰写简要摘要',
-    '文本',
-    '摘要',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'summary',
-                'toName', 'text',
-                'type', 'TextArea',
-                'required', true,
-                'description', '在此填写摘要内容'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'text',
-                'type', 'Text',
-                'value', '$text'
-            )
-        )
-    ),
-    'vertical',
-    '自然语言处理',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
-
--- 9. 关键词抽取模板
-INSERT INTO t_dm_annotation_templates (
-    id, name, description, data_type, labeling_type,
-    configuration, style, category, built_in, version, created_at
-) VALUES (
-    'tpl-keyword-extract-001',
-    '关键词抽取',
-    '从文本中选出关键词或关键短语',
-    '文本',
-    '实体识别',
-    JSON_OBJECT(
-        'labels', JSON_ARRAY(
-            JSON_OBJECT(
-                'fromName', 'kw',
-                'toName', 'text',
-                'type', 'Labels',
-                'labels', JSON_ARRAY('Keyword'),
-                'required', false,
-                'description', '高亮文本并标注关键词'
-            )
-        ),
-        'objects', JSON_ARRAY(
-            JSON_OBJECT(
-                'name', 'text',
-                'type', 'Text',
-                'value', '$text'
-            )
-        )
-    ),
-    'vertical',
-    '自然语言处理',
-    1,
-    '1.0.0',
-    NOW()
-)
-ON DUPLICATE KEY UPDATE
-    name = VALUES(name),
-    description = VALUES(description),
-    data_type = VALUES(data_type),
-    labeling_type = VALUES(labeling_type),
-    configuration = VALUES(configuration),
-    style = VALUES(style),
-    category = VALUES(category),
-    built_in = VALUES(built_in),
-    version = VALUES(version),
-    updated_at = NOW();
+    dataset_id VARCHAR(36) NOT NULL COMMENT '数据集ID',
+    dataset_name VARCHAR(255) COMMENT '数据集名称',
+    config JSON NOT NULL COMMENT '任务配置',
+    file_ids JSON COMMENT '文件ID列表',
+    status VARCHAR(50) NOT NULL DEFAULT 'pending' COMMENT '任务状态',
+    progress INT DEFAULT 0 COMMENT '任务进度',
+    total_images INT DEFAULT 0 COMMENT '总图片数',
+    processed_images INT DEFAULT 0 COMMENT '已处理图片数',
+    detected_objects INT DEFAULT 0 COMMENT '检测到的对象数',
+    output_path VARCHAR(500) COMMENT '输出路径',
+    error_message TEXT COMMENT '错误信息',
+    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间',
+    completed_at TIMESTAMP NULL COMMENT '完成时间',
+    deleted_at TIMESTAMP NULL COMMENT '删除时间',
+    INDEX idx_dataset_id (dataset_id),
+    INDEX idx_status (status),
+    INDEX idx_created_at (created_at)
+) COMMENT='自动标注任务表';
+
+-- =====================================
+-- DML语句 - 内置标注模板数据
+-- =====================================
+
+-- 清空现有内置模板（保留自定义模板）
+DELETE FROM t_dm_annotation_templates WHERE built_in = 1;
+
+-- =============================================
+-- 1. 音频/语音处理 (Audio/Speech Processing)
+-- =============================================
+
+-- 1.1 自动语音识别（分段）
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-asr-segments-001',
+    '语音识别（分段）',
+    '对音频进行语音活动分段并转录文本，适用于呼叫中心转录、会议记录、播客转录、法庭记录等场景。关联模型：Whisper、Wav2Vec2、DeepSpeech',
+    'audio',
+    'asr-segments',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'labels', 'toName', 'audio', 'type', 'Labels', 'labels', JSON_ARRAY('Speech', 'Noise')),
+            JSON_OBJECT('fromName', 'transcription', 'toName', 'audio', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Labels name="labels" toName="audio">
+    <Label value="Speech" />
+    <Label value="Noise" />
+  </Labels>
+  <Audio name="audio" value="$audio"/>
+  <TextArea name="transcription" toName="audio"
+            rows="2" editable="true"
+            perRegion="true" required="true" />
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.2 自动语音识别
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-asr-001',
+    '语音识别',
+    '转录音频内容，适用于播客转录、会议记录、客服通话、字幕生成等场景。关联模型：Whisper、Wav2Vec、DeepSpeech',
+    'audio',
+    'asr',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'transcription', 'toName', 'audio', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Audio name="audio" value="$audio" zoom="true" hotkey="ctrl+enter" />
+  <Header value="转录音频内容" />
+  <TextArea name="transcription" toName="audio"
+            rows="4" editable="true" maxSubmissions="1" />
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.3 对话分析
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-conversation-analysis-001',
+    '对话分析',
+    '分析对话语句并标注事实和情感方面，适用于呼叫中心质检、客服分析、会议分析等场景',
+    'audio',
+    'conversation-analysis',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'text', 'type', 'ParagraphLabels', 'labels', JSON_ARRAY('Positive', 'Negative'))
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'),
+            JSON_OBJECT('name', 'text', 'type', 'Paragraphs', 'value', '$text')
+        )
+    ),
+    '<View>
+  <Audio name="audio" value="$audio" hotkey="space" sync="text"/>
+  <Header value="对话记录"/>
+  <Paragraphs audioUrl="$audio" sync="audio" name="text" value="$text"
+              layout="dialogue" textKey="text" nameKey="author"
+              granularity="paragraph" contextscroll="true" />
+  <View style="position: sticky">
+    <Header value="情感标签"/>
+    <ParagraphLabels name="label" toName="text">
+      <Label value="Positive" background="#00ff00"/>
+      <Label value="Negative" background="#ff0000"/>
+    </ParagraphLabels>
+  </View>
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.4 意图分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-intent-classification-001',
+    '意图分类',
+    '进行语音活动分段并选择语音意图，适用于语音助手、智能音箱、IVR系统等场景',
+    'audio',
+    'intent-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'labels', 'toName', 'audio', 'type', 'Labels', 'labels', JSON_ARRAY('Segment')),
+            JSON_OBJECT('fromName', 'intent', 'toName', 'audio', 'type', 'Choices', 'options', JSON_ARRAY('Question', 'Request', 'Satisfied', 'Interested', 'Unsatisfied'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Labels name="labels" toName="audio">
+    <Label value="Segment" />
+  </Labels>
+  <Audio name="audio" value="$audio"/>
+  <Choices name="intent" toName="audio" perRegion="true" required="true">
+    <Choice value="Question" />
+    <Choice value="Request" />
+    <Choice value="Satisfied" />
+    <Choice value="Interested" />
+    <Choice value="Unsatisfied" />
+  </Choices>
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.5 信号质量检测
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-signal-quality-001',
+    '信号质量检测',
+    '评估音频信号质量，适用于电信、呼叫中心质检、音频制作、VoIP质量评估等场景',
+    'audio',
+    'signal-quality',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'rating', 'toName', 'audio', 'type', 'Rating')
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Rating name="rating" toName="audio" maxRating="10" icon="star" size="medium" />
+  <Audio name="audio" value="$audio"/>
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.6 声音事件检测
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-sound-event-001',
+    '声音事件检测',
+    '选择音频片段并分类声音事件，适用于安防监控、智慧城市、环境监测、工业监测等场景',
+    'audio',
+    'sound-event-detection',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'audio', 'type', 'Labels', 'labels', JSON_ARRAY('Event A', 'Event B'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Labels name="label" toName="audio" zoom="true" hotkey="ctrl+enter">
+    <Label value="Event A" background="red"/>
+    <Label value="Event B" background="green"/>
+  </Labels>
+  <Audio name="audio" value="$audio"/>
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- 1.7 说话人分割
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-speaker-segmentation-001',
+    '说话人分割',
+    '执行说话人分割/话者分离任务，适用于会议转录、播客制作、呼叫中心分析、法庭记录等场景',
+    'audio',
+    'speaker-segmentation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'audio', 'type', 'Labels', 'labels', JSON_ARRAY('Speaker one', 'Speaker two'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'audio', 'type', 'Audio', 'value', '$audio'))
+    ),
+    '<View>
+  <Labels name="label" toName="audio" zoom="true" hotkey="ctrl+enter">
+    <Label value="Speaker one" background="#00FF00"/>
+    <Label value="Speaker two" background="#12ad59"/>
+  </Labels>
+  <Audio name="audio" value="$audio" />
+</View>',
+    'horizontal',
+    'audio-speech',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 2. 聊天评估 (Chat)
+-- =============================================
+
+-- 2.1 聊天机器人评估
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-chatbot-evaluation-001',
+    '聊天机器人评估',
+    '评估聊天机器人是否已准备好投入生产，适用于对话AI评估、客服AI、虚拟助手评估等场景',
+    'chat',
+    'chatbot-evaluation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'accuracy', 'toName', 'chat', 'type', 'Rating'),
+            JSON_OBJECT('fromName', 'documentation', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Comprehensive', 'Partial', 'Missing')),
+            JSON_OBJECT('fromName', 'questions_answered', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Yes', 'No', 'Partial'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'chat', 'type', 'Chat', 'value', '$chat'))
+    ),
+    '<View>
+  <Style>
+    .chat { border: 1px solid var(--color-neutral-border); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+    .evaluation { border: 2px solid var(--color-accent-blueberry-base); background: var(--color-accent-blueberry-subtlest); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+  </Style>
+  <View style="display: flex; gap: var(--spacing-base);">
+    <View className="chat" style="flex: 2;">
+      <Text name="instructions" value="请详细审查对话，点击助手消息提供反馈" />
+      <Chat name="chat" value="$chat" minMessages="2" editable="false" />
+    </View>
+    <View style="flex: 1;" className="evaluation">
+      <View visibleWhen="region-selected" whenRole="assistant">
+        <Header value="响应准确度"/>
+        <Rating name="accuracy" toName="chat" perRegion="true" maxRating="5" icon="star"/>
+        <Header value="文档提供"/>
+        <Choices name="documentation" toName="chat" perRegion="true">
+          <Choice value="Comprehensive documentation provided" />
+          <Choice value="Provided some documentation" />
+          <Choice value="Missing documentation" />
+        </Choices>
+        <Header value="是否回答问题"/>
+        <Choices name="questions_answered" toName="chat" perRegion="true">
+          <Choice value="Yes" />
+          <Choice value="No" />
+          <Choice value="Partial" />
+        </Choices>
+      </View>
+    </View>
+  </View>
+</View>',
+    'horizontal',
+    'chat',
+    1,
+    '1.0.0'
+);
+
+-- 2.2 RLHF评估
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-rlhf-evaluation-001',
+    'RLHF对话评估',
+    '将生产对话导入进行评估，了解Agent成功或失败的原因，适用于RLHF数据收集、偏好学习等场景',
+    'chat',
+    'rlhf-evaluation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'rating', 'toName', 'chat', 'type', 'Rating'),
+            JSON_OBJECT('fromName', 'relevance', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Highly relevant', 'Somewhat relevant', 'Not relevant')),
+            JSON_OBJECT('fromName', 'correctness', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Accurate', 'Mostly accurate', 'Contains errors'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'chat', 'type', 'Chat', 'value', '$chat'))
+    ),
+    '<View>
+  <Style>
+    .chat { border: 1px solid var(--color-neutral-border); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+    .evaluation { border: 2px solid var(--color-accent-canteloupe-base); background: var(--color-accent-canteloupe-subtlest); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+  </Style>
+  <View style="display: flex; gap: var(--spacing-wide);">
+    <View className="chat" style="flex: 2;">
+      <Text name="instructions" value="详细审查对话，点击消息提供反馈" />
+      <Chat name="chat" value="$chat" minMessages="2" editable="false" />
+    </View>
+    <View style="flex: 1;" className="evaluation">
+      <View className="overall-chat">
+        <Header size="4">对话整体质量</Header>
+        <Rating name="rating" toName="chat" />
+        <TextArea name="conversation_comment" toName="chat" placeholder="添加评论（可选）"/>
+      </View>
+      <View visibleWhen="region-selected" whenRole="assistant">
+        <Header value="响应准确度"/>
+        <Rating name="assistant_response_accuracy" toName="chat" perRegion="true" maxRating="5"/>
+        <Header value="相关性"/>
+        <Choices name="relevance" toName="chat" perRegion="true">
+          <Choice value="Highly relevant" />
+          <Choice value="Somewhat relevant" />
+          <Choice value="Not relevant" />
+        </Choices>
+        <Header value="正确性"/>
+        <Choices name="correctness" toName="chat" perRegion="true">
+          <Choice value="Accurate and factual" />
+          <Choice value="Mostly accurate" />
+          <Choice value="Contains errors" />
+        </Choices>
+      </View>
+    </View>
+  </View>
+</View>',
+    'horizontal',
+    'chat',
+    1,
+    '1.0.0'
+);
+
+-- 2.3 红队测试
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-red-teaming-001',
+    '红队测试',
+    '通过结构化红队测试对GenAI Agent进行压力测试，适用于AI安全测试、对抗评估、越狱检测等场景',
+    'chat',
+    'red-teaming',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'user_risk', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Benign', 'Borderline', 'Risky', 'Clear risk')),
+            JSON_OBJECT('fromName', 'assistant_outcome', 'toName', 'chat', 'type', 'Choices', 'options', JSON_ARRAY('Compliant', 'Safe-refusal', 'Policy Violation', 'Over refusal'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'chat', 'type', 'Chat', 'value', '$chat'))
+    ),
+    '<View>
+  <Style>
+    .chat { border: 1px solid var(--color-neutral-border); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+    .evaluation { border: 2px solid var(--color-accent-kale-base); background: var(--color-accent-kale-subtlest); padding: var(--spacing-tight); border-radius: var(--corner-radius-medium); }
+  </Style>
+  <View style="display: flex; gap: var(--spacing-wide);">
+    <View className="chat" style="flex: 2;">
+      <Text name="instructions" value="$text" />
+      <Chat name="chat" value="$chat" llm="openai/gpt-4.1-nano" minMessages="2" editable="false" />
+    </View>
+    <View style="flex: 1;" className="evaluation">
+      <View visibleWhen="region-selected" whenRole="user">
+        <Header value="危害/安全风险"/>
+        <Choices name="user_risk" toName="chat" choice="single" perRegion="true">
+          <Choice value="0 - Benign"/>
+          <Choice value="1 - Borderline"/>
+          <Choice value="2 - Risky"/>
+          <Choice value="3 - Clear risk"/>
+        </Choices>
+        <Header value="越狱策略"/>
+        <Choices name="user_jailbreak_tactic" toName="chat" choice="multiple" perRegion="true">
+          <Choice value="Role play"/>
+          <Choice value="Indirect prompt"/>
+          <Choice value="Obfuscated"/>
+        </Choices>
+      </View>
+      <View visibleWhen="region-selected" whenRole="assistant">
+        <Header value="结果"/>
+        <Choices name="assistant_outcome" toName="chat" choice="single" perRegion="true">
+          <Choice value="Compliant"/>
+          <Choice value="Safe-refusal"/>
+          <Choice value="Policy Violation"/>
+          <Choice value="Over refusal"/>
+        </Choices>
+      </View>
+    </View>
+  </View>
+</View>',
+    'horizontal',
+    'chat',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 3. 计算机视觉 (Computer Vision)
+-- =============================================
+
+-- 3.1 图像描述
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-image-captioning-001',
+    '图像描述',
+    '编写描述图像的文本，适用于无障碍工具、视觉搜索、内容管理、电商产品描述等场景。关联模型：BLIP、CLIP、GPT-4V',
+    'image',
+    'image-captioning',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'caption', 'toName', 'image', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Image name="image" value="$captioning"/>
+  <Header value="描述图像内容："/>
+  <TextArea name="caption" toName="image" placeholder="在此输入描述..."
+            rows="5" maxSubmissions="1"/>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.2 图像分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-image-classification-001',
+    '图像分类',
+    '对图像进行分类，适用于内容审核、安全检测、社交媒体审核等场景。关联模型：ResNet、EfficientNet、Vision Transformer',
+    'image',
+    'image-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'choice', 'toName', 'image', 'type', 'Choices', 'options', JSON_ARRAY('Adult content', 'Weapons', 'Violence'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Image name="image" value="$image"/>
+  <Choices name="choice" toName="image">
+    <Choice value="Adult content"/>
+    <Choice value="Weapons" />
+    <Choice value="Violence" />
+  </Choices>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.3 目标检测（边界框）
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-object-detection-001',
+    '目标检测（边界框）',
+    '在目标周围绘制边界框，适用于自动驾驶、交通监控、安防监控、零售分析等场景。关联模型：YOLO、R-CNN、SSD',
+    'image',
+    'object-detection',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'image', 'type', 'RectangleLabels', 'labels', JSON_ARRAY('Airplane', 'Car'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Image name="image" value="$image"/>
+  <RectangleLabels name="label" toName="image">
+    <Label value="Airplane" background="green"/>
+    <Label value="Car" background="blue"/>
+  </RectangleLabels>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.4 语义分割（掩码）
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-semantic-segmentation-mask-001',
+    '语义分割（掩码）',
+    '使用画笔工具在目标周围绘制掩码，适用于自动驾驶、医学图像分析、卫星图像分析等场景。关联模型：U-Net、DeepLab、Mask R-CNN',
+    'image',
+    'semantic-segmentation-mask',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'tag', 'toName', 'image', 'type', 'BrushLabels', 'labels', JSON_ARRAY('Airplane', 'Car'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Image name="image" value="$image" zoom="true"/>
+  <BrushLabels name="tag" toName="image">
+    <Label value="Airplane" background="rgba(255, 0, 0, 0.7)"/>
+    <Label value="Car" background="rgba(0, 0, 255, 0.7)"/>
+  </BrushLabels>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.5 语义分割（多边形）
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-semantic-segmentation-polygon-001',
+    '语义分割（多边形）',
+    '在目标周围绘制多边形，适用于自动驾驶、医学图像、卫星图像、精准农业等场景。关联模型：DeepLab、PSPNet、U-Net',
+    'image',
+    'semantic-segmentation-polygon',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'image', 'type', 'PolygonLabels', 'labels', JSON_ARRAY('Airplane', 'Car'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Header value="选择标签并点击图像开始"/>
+  <Image name="image" value="$image" zoom="true"/>
+  <PolygonLabels name="label" toName="image" strokeWidth="3" pointSize="small" opacity="0.9">
+    <Label value="Airplane" background="red"/>
+    <Label value="Car" background="blue"/>
+  </PolygonLabels>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.6 关键点标注
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-keypoint-labeling-001',
+    '关键点标注',
+    '添加带标签的关键点，适用于人体姿态估计、面部特征点检测、运动分析等场景。关联模型：OpenPose、MediaPipe、PoseNet',
+    'image',
+    'keypoint-labeling',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'kp', 'toName', 'img', 'type', 'KeyPointLabels', 'labels', JSON_ARRAY('Face', 'Nose'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'img', 'type', 'Image', 'value', '$img'))
+    ),
+    '<View>
+  <KeyPointLabels name="kp-1" toName="img-1">
+    <Label value="Face" background="red" />
+    <Label value="Nose" background="green" />
+  </KeyPointLabels>
+  <Image name="img-1" value="$img" />
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.7 OCR识别
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-ocr-001',
+    'OCR识别',
+    '在区域周围绘制边界框或多边形并写下其中的文本，适用于文档数字化、发票处理、车牌识别等场景。关联模型：Tesseract、PaddleOCR、EasyOCR',
+    'image',
+    'ocr',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'image', 'type', 'Labels', 'labels', JSON_ARRAY('Text', 'Handwriting')),
+            JSON_OBJECT('fromName', 'transcription', 'toName', 'image', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$ocr'))
+    ),
+    '<View>
+  <Image name="image" value="$ocr"/>
+  <Labels name="label" toName="image">
+    <Label value="Text" background="green"/>
+    <Label value="Handwriting" background="blue"/>
+  </Labels>
+  <Rectangle name="bbox" toName="image" strokeWidth="3"/>
+  <Polygon name="poly" toName="image" strokeWidth="3"/>
+  <TextArea name="transcription" toName="image"
+            editable="true" perRegion="true" required="true"
+            maxSubmissions="1" rows="5" placeholder="识别的文本"
+            displayMode="region-list"/>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- 3.8 视觉问答
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-vqa-001',
+    '视觉问答',
+    '回答与图像相关的问题，适用于无障碍工具、教育评估、自动驾驶、医学图像分析等场景。关联模型：ViLBERT、BLIP、GPT-4V',
+    'image',
+    'vqa',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'answer1', 'toName', 'q1', 'type', 'TextArea', 'required', true),
+            JSON_OBJECT('fromName', 'answer2', 'toName', 'q2', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'),
+            JSON_OBJECT('name', 'q1', 'type', 'Text', 'value', '$q1'),
+            JSON_OBJECT('name', 'q2', 'type', 'Text', 'value', '$q2')
+        )
+    ),
+    '<View>
+  <Image name="image" value="$image"/>
+  <Header value="请回答以下问题："/>
+  <View style="display: grid; grid-template-columns: 1fr 10fr 1fr 3fr; column-gap: 1em">
+    <Header value="Q1:"/>
+    <Text name="q1" value="$q1"/>
+    <Header value="A1:"/>
+    <TextArea name="answer1" toName="q1" rows="1" maxSubmissions="1"/>
+  </View>
+  <View style="display: grid; grid-template-columns: 1fr 10fr 1fr 3fr; column-gap: 1em">
+    <Header value="Q2:"/>
+    <Text name="q2" value="$q2"/>
+    <Header value="A2:"/>
+    <TextArea name="answer2" toName="q2" rows="1" maxSubmissions="1"/>
+  </View>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 4. 自然语言处理 (NLP)
+-- =============================================
+
+-- 4.1 文本分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-text-classification-001',
+    '文本分类',
+    '对文本进行分类，适用于情感分析、主题分类、垃圾邮件检测等场景。关联模型：BERT、RoBERTa、DistilBERT',
+    'text',
+    'text-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'sentiment', 'toName', 'text', 'type', 'Choices', 'options', JSON_ARRAY('Positive', 'Negative', 'Neutral'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Text name="text" value="$text"/>
+  <Choices name="sentiment" toName="text" choice="single-radio" showInLine="true">
+    <Choice value="Positive"/>
+    <Choice value="Negative"/>
+    <Choice value="Neutral"/>
+  </Choices>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.2 命名实体识别
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-ner-001',
+    '命名实体识别',
+    '在文本中标注命名实体，适用于信息抽取、知识图谱构建、智能问答等场景。关联模型：BERT-NER、SpaCy、Flair',
+    'text',
+    'ner',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'text', 'type', 'Labels', 'labels', JSON_ARRAY('PER', 'ORG', 'LOC', 'MISC'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Labels name="label" toName="text">
+    <Label value="PER" background="red"/>
+    <Label value="ORG" background="darkorange"/>
+    <Label value="LOC" background="orange"/>
+    <Label value="MISC" background="green"/>
+  </Labels>
+  <Text name="text" value="$text"/>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.3 关系抽取
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-relation-extraction-001',
+    '关系抽取',
+    '标注实体间的关系，适用于知识图谱构建、信息抽取等场景。关联模型：BERT、GPT、OpenIE',
+    'text',
+    'relation-extraction',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'text', 'type', 'Labels', 'labels', JSON_ARRAY('PER', 'ORG', 'LOC')),
+            JSON_OBJECT('fromName', 'relation', 'toName', 'text', 'type', 'Relations')
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Relations>
+    <Relation value="works_for"/>
+    <Relation value="lives_in"/>
+    <Relation value="located_in"/>
+  </Relations>
+  <Labels name="label" toName="text">
+    <Label value="PER" background="red"/>
+    <Label value="ORG" background="darkorange"/>
+    <Label value="LOC" background="orange"/>
+  </Labels>
+  <Text name="text" value="$text"/>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.4 机器翻译
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-machine-translation-001',
+    '机器翻译',
+    '翻译文本内容，适用于翻译质量评估、机器翻译后编辑等场景',
+    'text',
+    'machine-translation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'translation', 'toName', 'text', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <View style="display: grid; grid-template-columns: 1fr 1fr; grid-column-gap: 1em">
+    <View>
+      <Header value="原文"/>
+      <Text name="text" value="$text"/>
+    </View>
+    <View>
+      <Header value="翻译"/>
+      <TextArea name="translation" toName="text" rows="5" editable="true" maxSubmissions="1"/>
+    </View>
+  </View>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.5 文本摘要
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-text-summarization-001',
+    '文本摘要',
+    '编写文本摘要，适用于新闻摘要、文档摘要、会议纪要等场景',
+    'text',
+    'text-summarization',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'summary', 'toName', 'text', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Text name="text" value="$text"/>
+  <Header value="编写摘要"/>
+  <TextArea name="summary" toName="text" rows="4" editable="true" maxSubmissions="1"/>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.6 问答
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-question-answering-001',
+    '问答',
+    '基于上下文回答问题或标注答案，适用于阅读理解、智能客服等场景',
+    'text',
+    'question-answering',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'answer', 'toName', 'text', 'type', 'Labels', 'labels', JSON_ARRAY('Answer'))
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'),
+            JSON_OBJECT('name', 'question', 'type', 'Text', 'value', '$question')
+        )
+    ),
+    '<View>
+  <Text name="question" value="$question"/>
+  <Labels name="answer" toName="text">
+    <Label value="Answer" background="green"/>
+  </Labels>
+  <Text name="text" value="$text"/>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- 4.7 层级分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-taxonomy-001',
+    '层级分类',
+    '使用层级分类法对文本进行分类，适用于电商商品分类、文档归档等场景',
+    'text',
+    'taxonomy',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'taxonomy', 'toName', 'text', 'type', 'Taxonomy')
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Text name="text" value="$text"/>
+  <Taxonomy name="taxonomy" toName="text">
+    <Choice value="Archaea">
+      <Choice value="Euryarchaeota"/>
+      <Choice value="Crenarchaeota"/>
+    </Choice>
+    <Choice value="Bacteria">
+      <Choice value="Actinobacteria"/>
+      <Choice value="Proteobacteria"/>
+    </Choice>
+    <Choice value="Eukarya">
+      <Choice value="Animalia">
+        <Choice value="Chordata">
+          <Choice value="Mammalia"/>
+          <Choice value="Aves"/>
+        </Choice>
+      </Choice>
+      <Choice value="Plantae"/>
+    </Choice>
+  </Taxonomy>
+</View>',
+    'vertical',
+    'nlp',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 5. 生成式AI (Generative AI)
+-- =============================================
+
+-- 5.1 RLHF人类偏好
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-rlhf-preference-001',
+    'RLHF人类偏好',
+    '收集人类偏好用于RLHF训练，对两个LLM响应进行排名',
+    'text',
+    'rlhf-preference',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'preference', 'toName', 'prompt', 'type', 'Pairwise')
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'prompt', 'type', 'Text', 'value', '$prompt'),
+            JSON_OBJECT('name', 'response1', 'type', 'Text', 'value', '$response1'),
+            JSON_OBJECT('name', 'response2', 'type', 'Text', 'value', '$response2')
+        )
+    ),
+    '<View>
+  <Style>
+    .prompt-box { background: #f5f5f5; padding: 15px; border-radius: 8px; margin-bottom: 20px; }
+    .response-box { border: 1px solid #ddd; padding: 15px; border-radius: 8px; }
+  </Style>
+  <View className="prompt-box">
+    <Header value="Prompt"/>
+    <Text name="prompt" value="$prompt"/>
+  </View>
+  <Pairwise name="preference" toName="prompt" leftText="Response A" rightText="Response B">
+    <View className="response-box">
+      <Header value="Response A"/>
+      <Text name="response1" value="$response1"/>
+    </View>
+    <View className="response-box">
+      <Header value="Response B"/>
+      <Text name="response2" value="$response2"/>
+    </View>
+  </Pairwise>
+</View>',
+    'horizontal',
+    'generative-ai',
+    1,
+    '1.0.0'
+);
+
+-- 5.2 LLM响应评分
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-llm-grading-001',
+    'LLM响应评分',
+    '对LLM生成的响应进行多维度评分',
+    'text',
+    'llm-grading',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'relevance', 'toName', 'response', 'type', 'Rating'),
+            JSON_OBJECT('fromName', 'coherence', 'toName', 'response', 'type', 'Rating'),
+            JSON_OBJECT('fromName', 'fluency', 'toName', 'response', 'type', 'Rating')
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'prompt', 'type', 'Text', 'value', '$prompt'),
+            JSON_OBJECT('name', 'response', 'type', 'Text', 'value', '$response')
+        )
+    ),
+    '<View>
+  <Header value="Prompt"/>
+  <Text name="prompt" value="$prompt"/>
+  <Header value="Response"/>
+  <Text name="response" value="$response"/>
+  <Header value="相关性"/>
+  <Rating name="relevance" toName="response" maxRating="5"/>
+  <Header value="连贯性"/>
+  <Rating name="coherence" toName="response" maxRating="5"/>
+  <Header value="流畅度"/>
+  <Rating name="fluency" toName="response" maxRating="5"/>
+</View>',
+    'vertical',
+    'generative-ai',
+    1,
+    '1.0.0'
+);
+
+-- 5.3 监督微调
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-sft-001',
+    '监督微调',
+    '为LLM监督微调收集高质量指令-响应对',
+    'text',
+    'sft',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'response', 'toName', 'instruction', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'instruction', 'type', 'Text', 'value', '$instruction'))
+    ),
+    '<View>
+  <Header value="指令"/>
+  <Text name="instruction" value="$instruction"/>
+  <Header value="编写高质量响应"/>
+  <TextArea name="response" toName="instruction" rows="6" editable="true" maxSubmissions="1"/>
+</View>',
+    'vertical',
+    'generative-ai',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 6. 排名与评分 (Ranking & Scoring)
+-- =============================================
+
+-- 6.1 成对比较
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-pairwise-classification-001',
+    '成对分类',
+    '对两个项目进行成对比较分类',
+    'text',
+    'pairwise-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'comparison', 'toName', 'text', 'type', 'Pairwise')
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$prompt'),
+            JSON_OBJECT('name', 'option1', 'type', 'Text', 'value', '$option1'),
+            JSON_OBJECT('name', 'option2', 'type', 'Text', 'value', '$option2')
+        )
+    ),
+    '<View>
+  <Text name="text" value="$prompt"/>
+  <Pairwise name="comparison" toName="text" leftText="选项A" rightText="选项B">
+    <Text name="option1" value="$option1"/>
+    <Text name="option2" value="$option2"/>
+  </Pairwise>
+</View>',
+    'horizontal',
+    'ranking-scoring',
+    1,
+    '1.0.0'
+);
+
+-- 6.2 搜索排名
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-serp-ranking-001',
+    '搜索排名',
+    '对搜索结果进行相关性排名，适用于搜索引擎优化、信息检索等场景',
+    'text',
+    'serp-ranking',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'relevance', 'toName', 'result', 'type', 'Rating')
+        ),
+        'objects', JSON_ARRAY(
+            JSON_OBJECT('name', 'query', 'type', 'Text', 'value', '$query'),
+            JSON_OBJECT('name', 'result', 'type', 'Text', 'value', '$result')
+        )
+    ),
+    '<View>
+  <Header value="搜索查询"/>
+  <Text name="query" value="$query"/>
+  <Header value="搜索结果"/>
+  <Text name="result" value="$result"/>
+  <Header value="相关性评分"/>
+  <Rating name="relevance" toName="result" maxRating="5"/>
+</View>',
+    'vertical',
+    'ranking-scoring',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 7. 结构化数据 (Structured Data)
+-- =============================================
+
+-- 7.1 PDF分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-pdf-classification-001',
+    'PDF分类',
+    '对PDF文档进行分类',
+    'pdf',
+    'pdf-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'choice', 'toName', 'pdf', 'type', 'Choices', 'options', JSON_ARRAY('Invoice', 'Contract', 'Report', 'Other'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'pdf', 'type', 'PDF', 'value', '$pdf'))
+    ),
+    '<View>
+  <Style>
+    .htx-pdf { height: calc(100vh - 250px); }
+  </Style>
+  <Pdf name="pdf" value="$pdf"/>
+  <Choices name="choice" toName="pdf">
+    <Choice value="Invoice"/>
+    <Choice value="Contract"/>
+    <Choice value="Report"/>
+    <Choice value="Other"/>
+  </Choices>
+</View>',
+    'horizontal',
+    'structured-data',
+    1,
+    '1.0.0'
+);
+
+-- 7.2 表格数据标注
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-tabular-data-001',
+    '表格数据标注',
+    '对表格数据进行标注和分类',
+    'table',
+    'tabular-data',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'choice', 'toName', 'table', 'type', 'Choices', 'options', JSON_ARRAY('Valid', 'Invalid', 'Needs Review'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'table', 'type', 'Table', 'value', '$table'))
+    ),
+    '<View>
+  <Table name="table" value="$table"/>
+  <Choices name="choice" toName="table">
+    <Choice value="Valid"/>
+    <Choice value="Invalid"/>
+    <Choice value="Needs Review"/>
+  </Choices>
+</View>',
+    'vertical',
+    'structured-data',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 8. 时间序列 (Time Series)
+-- =============================================
+
+-- 8.1 异常检测
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-anomaly-detection-001',
+    '异常检测',
+    '在时间序列数据中标注异常区域',
+    'timeseries',
+    'anomaly-detection',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'ts', 'type', 'TimeseriesLabels', 'labels', JSON_ARRAY('Anomaly', 'Normal'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'ts', 'type', 'Timeseries', 'value', '$timeseries'))
+    ),
+    '<View>
+  <TimeseriesLabels name="label" toName="ts">
+    <Label value="Anomaly" background="red"/>
+    <Label value="Normal" background="green"/>
+  </TimeseriesLabels>
+  <Timeseries name="ts" value="$timeseries" timeColumn="time" valueColumns="value"/>
+</View>',
+    'horizontal',
+    'time-series',
+    1,
+    '1.0.0'
+);
+
+-- 8.2 活动识别
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-activity-recognition-001',
+    '活动识别',
+    '在时间序列数据中识别和标注不同活动',
+    'timeseries',
+    'activity-recognition',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'ts', 'type', 'TimeseriesLabels', 'labels', JSON_ARRAY('Walking', 'Running', 'Sitting', 'Standing'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'ts', 'type', 'Timeseries', 'value', '$timeseries'))
+    ),
+    '<View>
+  <TimeseriesLabels name="label" toName="ts">
+    <Label value="Walking" background="blue"/>
+    <Label value="Running" background="red"/>
+    <Label value="Sitting" background="green"/>
+    <Label value="Standing" background="orange"/>
+  </TimeseriesLabels>
+  <Timeseries name="ts" value="$timeseries" timeColumn="time" valueColumns="acc_x,acc_y,acc_z"/>
+</View>',
+    'horizontal',
+    'time-series',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 9. 视频处理 (Videos)
+-- =============================================
+
+-- 9.1 视频分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-video-classification-001',
+    '视频分类',
+    '对视频进行整体分类',
+    'video',
+    'video-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'choice', 'toName', 'video', 'type', 'Choices', 'options', JSON_ARRAY('Sports', 'News', 'Entertainment', 'Education'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'video', 'type', 'Video', 'value', '$video'))
+    ),
+    '<View>
+  <Video name="video" value="$video"/>
+  <Choices name="choice" toName="video">
+    <Choice value="Sports"/>
+    <Choice value="News"/>
+    <Choice value="Entertainment"/>
+    <Choice value="Education"/>
+  </Choices>
+</View>',
+    'horizontal',
+    'video',
+    1,
+    '1.0.0'
+);
+
+-- 9.2 视频目标追踪
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-video-object-tracking-001',
+    '视频目标追踪',
+    '在视频中追踪目标对象',
+    'video',
+    'video-object-tracking',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'video', 'type', 'VideoRectangle', 'labels', JSON_ARRAY('Person', 'Car', 'Object'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'video', 'type', 'Video', 'value', '$video'))
+    ),
+    '<View>
+  <Labels name="label" toName="video">
+    <Label value="Person" background="red"/>
+    <Label value="Car" background="blue"/>
+    <Label value="Object" background="green"/>
+  </Labels>
+  <VideoRectangle name="box" toName="video"/>
+  <Video name="video" value="$video"/>
+</View>',
+    'horizontal',
+    'video',
+    1,
+    '1.0.0'
+);
+
+-- 9.3 视频时间线分割
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-video-timeline-segmentation-001',
+    '视频时间线分割',
+    '对视频时间线进行分段标注',
+    'video',
+    'video-timeline-segmentation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'video', 'type', 'Labels', 'labels', JSON_ARRAY('Intro', 'Content', 'Outro'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'video', 'type', 'Video', 'value', '$video'))
+    ),
+    '<View>
+  <Labels name="label" toName="video">
+    <Label value="Intro" background="blue"/>
+    <Label value="Content" background="green"/>
+    <Label value="Outro" background="orange"/>
+  </Labels>
+  <Video name="video" value="$video"/>
+</View>',
+    'horizontal',
+    'video',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 10. 对话AI (Conversational AI)
+-- =============================================
+
+-- 10.1 共指消解
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-coreference-resolution-001',
+    '共指消解',
+    '在文本中标注共指关系和实体链接',
+    'text',
+    'coreference-resolution',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'label', 'toName', 'text', 'type', 'Labels', 'labels', JSON_ARRAY('Noun', 'Pronoun'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'text', 'type', 'Text', 'value', '$text'))
+    ),
+    '<View>
+  <Labels name="label" toName="text">
+    <Label value="Noun" background="red"/>
+    <Label value="Pronoun" background="darkorange"/>
+  </Labels>
+  <Text name="text" value="$corefText"/>
+</View>',
+    'vertical',
+    'conversational-ai',
+    1,
+    '1.0.0'
+);
+
+-- 10.2 槽填充
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-slot-filling-001',
+    '槽填充',
+    '构建任务导向对话系统，选择对话意图并提取槽实体',
+    'text',
+    'slot-filling',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'entity_slot', 'toName', 'dialogue', 'type', 'ParagraphLabels', 'labels', JSON_ARRAY('Person', 'Organization', 'Location', 'Datetime', 'Quantity')),
+            JSON_OBJECT('fromName', 'intent', 'toName', 'dialogue', 'type', 'Choices', 'options', JSON_ARRAY('Greeting', 'Customer request', 'Small talk'))
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'dialogue', 'type', 'Paragraphs', 'value', '$dialogue'))
+    ),
+    '<View>
+  <ParagraphLabels name="entity_slot" toName="dialogue">
+    <Label value="Person" />
+    <Label value="Organization" />
+    <Label value="Location" />
+    <Label value="Datetime" />
+    <Label value="Quantity" />
+  </ParagraphLabels>
+  <Paragraphs name="dialogue" value="$humanMachineDialogue" layout="dialogue" />
+  <Choices name="intent" toName="dialogue" choice="single" showInLine="true">
+    <Choice value="Greeting"/>
+    <Choice value="Customer request"/>
+    <Choice value="Small talk"/>
+  </Choices>
+</View>',
+    'vertical',
+    'conversational-ai',
+    1,
+    '1.0.0'
+);
+
+-- 10.3 响应生成
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-response-generation-001',
+    '响应生成',
+    '通过生成下一个对话响应来收集聊天机器人训练数据',
+    'text',
+    'response-generation',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'response', 'toName', 'chat', 'type', 'TextArea', 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'chat', 'type', 'Paragraphs', 'value', '$dialogue'))
+    ),
+    '<View>
+  <Paragraphs name="chat" value="$dialogue" layout="dialogue" />
+  <Header value="提供响应" />
+  <TextArea name="response" toName="chat" rows="4" editable="true" maxSubmissions="1" />
+</View>',
+    'vertical',
+    'conversational-ai',
+    1,
+    '1.0.0'
+);
+
+-- =============================================
+-- 完成提示
+-- =============================================
+SELECT CONCAT('成功插入 ', COUNT(*), ' 个内置标注模板') AS result
+FROM t_dm_annotation_templates WHERE built_in = 1;