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修改数据标注:标注模板到主流语言。
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@@ -44,23 +44,14 @@ CREATE TABLE t_dm_labeling_projects (
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-- 1. 图像分类模板
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-image-classification-001',
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'Image Classification',
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'Simple image classification with multiple choice labels',
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'image',
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'classification',
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'图像分类',
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'简单的多标签图像分类模板',
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'图像',
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'分类',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -69,7 +60,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'Choices',
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'options', JSON_ARRAY('Cat', 'Dog', 'Bird', 'Other'),
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'required', true,
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'description', 'Select the category that best describes the image'
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'description', '选择最符合图像内容的标签'
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)
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),
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'objects', JSON_ARRAY(
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@@ -81,7 +72,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'horizontal',
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'computer-vision',
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'计算机视觉',
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1,
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'1.0.0',
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NOW()
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@@ -98,25 +89,17 @@ ON DUPLICATE KEY UPDATE
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version = VALUES(version),
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updated_at = NOW();
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-- 2. 目标检测模板(矩形框)
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-object-detection-001',
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'Object Detection (Bounding Box)',
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'Object detection using rectangular bounding boxes',
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'image',
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'object-detection',
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'目标检测(边界框)',
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'使用矩形边界框进行目标检测',
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'图像',
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'目标检测',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -125,7 +108,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'RectangleLabels',
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'labels', JSON_ARRAY('Person', 'Vehicle', 'Animal', 'Object'),
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'required', false,
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'description', 'Draw bounding boxes around objects'
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'description', '在图像中框出目标并标注类别'
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)
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),
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'objects', JSON_ARRAY(
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@@ -137,7 +120,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'horizontal',
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'computer-vision',
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'计算机视觉',
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1,
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'1.0.0',
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NOW()
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@@ -154,25 +137,17 @@ ON DUPLICATE KEY UPDATE
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version = VALUES(version),
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updated_at = NOW();
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-- 3. 图像分割模板(多边形)
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-image-segmentation-001',
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'Image Segmentation (Polygon)',
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'Semantic segmentation using polygon annotations',
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'image',
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'segmentation',
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'图像分割(多边形)',
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'使用多边形标注进行语义分割',
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'图像',
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'分割',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -181,7 +156,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'PolygonLabels',
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'labels', JSON_ARRAY('Background', 'Foreground', 'Person', 'Car'),
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'required', false,
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'description', 'Draw polygons to segment regions'
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'description', '使用多边形框选需要分割的区域'
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)
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),
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'objects', JSON_ARRAY(
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@@ -193,7 +168,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'horizontal',
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'computer-vision',
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'计算机视觉',
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1,
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'1.0.0',
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NOW()
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@@ -210,25 +185,17 @@ ON DUPLICATE KEY UPDATE
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version = VALUES(version),
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updated_at = NOW();
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-- 4. 文本分类模板
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-text-classification-001',
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'Text Classification',
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'Classify text into predefined categories',
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'text',
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'classification',
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'文本分类',
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'将文本划分到预定义的类别',
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'文本',
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'分类',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -237,7 +204,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'Choices',
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'options', JSON_ARRAY('Positive', 'Negative', 'Neutral'),
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'required', true,
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'description', 'Sentiment classification'
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'description', '对文本的情感或类别进行选择'
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)
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),
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'objects', JSON_ARRAY(
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@@ -249,7 +216,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'vertical',
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'nlp',
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'自然语言处理',
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1,
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'1.0.0',
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NOW()
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@@ -266,25 +233,17 @@ ON DUPLICATE KEY UPDATE
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version = VALUES(version),
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updated_at = NOW();
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-- 5. 命名实体识别(NER)模板
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-- 5. 命名实体识别(NER)
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-ner-001',
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'Named Entity Recognition',
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'Extract and label named entities in text',
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'text',
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'ner',
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'命名实体识别',
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'从文本中抽取并标注命名实体',
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'文本',
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'实体识别',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -293,7 +252,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'Labels',
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'labels', JSON_ARRAY('PERSON', 'ORG', 'LOC', 'DATE', 'MISC'),
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'required', false,
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'description', 'Highlight and classify named entities'
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'description', '在文本中标注人物、地点等实体'
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)
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),
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'objects', JSON_ARRAY(
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@@ -305,7 +264,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'vertical',
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'nlp',
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'自然语言处理',
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1,
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'1.0.0',
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NOW()
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@@ -322,25 +281,17 @@ ON DUPLICATE KEY UPDATE
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version = VALUES(version),
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updated_at = NOW();
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-- 6. 音频分类模板
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INSERT INTO t_dm_annotation_templates (
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id,
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name,
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description,
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data_type,
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labeling_type,
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configuration,
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style,
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category,
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built_in,
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version,
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created_at
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id, name, description, data_type, labeling_type,
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configuration, style, category, built_in, version, created_at
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) VALUES (
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'tpl-audio-classification-001',
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'Audio Classification',
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'Classify audio clips into categories',
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'audio',
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'classification',
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'音频分类',
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'将音频片段划分到不同类别',
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'音频',
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'分类',
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JSON_OBJECT(
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'labels', JSON_ARRAY(
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JSON_OBJECT(
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@@ -349,7 +300,7 @@ INSERT INTO t_dm_annotation_templates (
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'type', 'Choices',
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'options', JSON_ARRAY('Speech', 'Music', 'Noise', 'Silence'),
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'required', true,
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'description', 'Audio content classification'
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'description', '选择音频片段对应的类别'
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)
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),
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'objects', JSON_ARRAY(
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@@ -361,7 +312,7 @@ INSERT INTO t_dm_annotation_templates (
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)
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),
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'horizontal',
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'audio',
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'音频',
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1,
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'1.0.0',
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NOW()
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@@ -377,3 +328,4 @@ ON DUPLICATE KEY UPDATE
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built_in = VALUES(built_in),
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version = VALUES(version),
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updated_at = NOW();
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