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feat(annotation-templates): add new NLP templates for multilabel classification, keyword extraction, and text summarization

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o0Shark0o
2025-12-11 09:37:32 +08:00
parent 2f3ae21f8a
commit cfa6301e9e
1 changed files with 144 additions and 2 deletions
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146
scripts/db/data-annotation-init.sql
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@@ -192,8 +192,8 @@ INSERT INTO t_dm_annotation_templates (
configuration, style, category, built_in, version, created_at configuration, style, category, built_in, version, created_at
) VALUES ( ) VALUES (
'tpl-text-classification-001', 'tpl-text-classification-001',
'文本分类', '文本情感分类',
'将文本划分到预定义的类别', '将文本中表达的情感划分到预定义的类别',
'文本', '文本',
'分类', '分类',
JSON_OBJECT( JSON_OBJECT(
@@ -329,3 +329,145 @@ ON DUPLICATE KEY UPDATE
version = VALUES(version), version = VALUES(version),
updated_at = NOW(); 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();