custom language freshness review

Author: ivorb

learn-pr/wwl-data-ai/custom-name-entity-recognition/1-introduction.yml

@@ -1,16 +1,16 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.introduction
-title: Introduction
-metadata:
-  title: Introduction
-  description: Introduction
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 1
-content: |
-  [!include[](includes/1-introduction.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.introduction
+title: Introduction
+metadata:
+  title: Introduction
+  description: Introduction
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 1
+content: |
+  [!include[](includes/1-introduction.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/2-understand-custom-named.yml

@@ -1,16 +1,16 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.understand-custom-named
-title: Understand custom named entity recognition
-metadata:
-  title: Understand custom named entity recognition
-  description: Understand custom named entity recognition
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 7
-content: |
-  [!include[](includes/2-understand-custom-named.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.understand-custom-named
+title: Understand custom named entity recognition
+metadata:
+  title: Understand custom named entity recognition
+  description: Understand custom named entity recognition
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 7
+content: |
+  [!include[](includes/2-understand-custom-named.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/3-tag-your-data.yml

@@ -1,16 +1,16 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.tag-your-data
-title: Label your data
-metadata:
-  title: 3-tag-your-data
-  description: Label your data
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 4
-content: |
-  [!include[](includes/3-tag-your-data.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.tag-your-data
+title: Label your data
+metadata:
+  title: 3-tag-your-data
+  description: Label your data
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 4
+content: |
+  [!include[](includes/3-tag-your-data.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/4-train-evaluate-your-model.yml

@@ -1,16 +1,16 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.train-evaluate-your-model
-title: Train and evaluate your model
-metadata:
-  title: Train and evaluate your model
-  description: Train and evaluate your model
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 3
-content: |
-  [!include[](includes/4-train-evaluate-your-model.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.train-evaluate-your-model
+title: Train and evaluate your model
+metadata:
+  title: Train and evaluate your model
+  description: Train and evaluate your model
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 3
+content: |
+  [!include[](includes/4-train-evaluate-your-model.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/5-exercise-extract-custom-entities.yml

@@ -1,19 +1,19 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.exercise-extract-custom-entities
-title: Exercise - Extract custom entities
-metadata:
-  title: Exercise - Extract custom entities
-  description: Exercise - Extract custom entities
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-azureSandbox: false
-labModal: true
-labId: 152402
-durationInMinutes: 35
-content: |
-  [!include[](includes/5-exercise-extract-custom-entities.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.exercise-extract-custom-entities
+title: Exercise - Extract custom entities
+metadata:
+  title: Exercise - Extract custom entities
+  description: Exercise - Extract custom entities
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+azureSandbox: false
+labModal: true
+labId: 152402
+durationInMinutes: 35
+content: |
+  [!include[](includes/5-exercise-extract-custom-entities.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/6-knowledge-check.yml

@@ -1,50 +1,50 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.knowledge-check
-title: Module assessment
-metadata:
-  title: Module assessment
-  description: Knowledge check
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 2
-quiz:
-  title: "Check your knowledge"
-  questions:
-  - content: "You've trained your model and you're seeing that it doesn't recognize your entities. What metric score is likely low to indicate that issue?"
-    choices:
-    - content: "Recall"
-      isCorrect: true
-      explanation: "That answer's correct. Recall indicates how well the model extracts entities, regardless of which entity that is."
-    - content: "Precision"
-      isCorrect: false
-      explanation: "That answer's incorrect. Recall indicates how well the model extracts entities, regardless of which entity that is."
-    - content: "F1 score"
-      isCorrect: false
-      explanation: "That answer's incorrect. Recall indicates how well the model extracts entities, regardless of which entity that is."
-  - content: "You just finished labeling your data. How and where is that file stored to train your model?"
-    choices:
-    - content: "JSON file, in my storage account container for the project"
-      isCorrect: true
-      explanation: "That answer's correct. The JSON file lives next to the dataset in your container for the model to use during training."
-    - content: "XML file, in my local project folder"
-      isCorrect: false
-      explanation: "That answer's incorrect. The JSON file lives next to the dataset in your container for the model to use during training."
-    - content: "YAML file, anywhere in my Azure account"
-      isCorrect: false
-      explanation: "That answer's incorrect. The JSON file lives next to the dataset in your container for the model to use during training."
-  - content: "You train your model with only one source of documents, even though real extraction tasks will come from several sources. What data quality metric do you need to increase?"
-    choices:
-    - content: "Distribution"
-      isCorrect: false
-      explanation: "That answer's incorrect. Having the right data diversity will lead to better extraction performance."
-    - content: "Accuracy"
-      isCorrect: false
-      explanation: "That answer's incorrect. Having the right data diversity will lead to better extraction performance."
-    - content: "Diversity"
-      isCorrect: true
-      explanation: "That answer's correct. Having the right data diversity will lead to better extraction performance."
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.knowledge-check
+title: Module assessment
+metadata:
+  title: Module assessment
+  description: Knowledge check
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 2
+quiz:
+  title: "Check your knowledge"
+  questions:
+  - content: "You've trained your model and you're seeing that it doesn't recognize your entities. What metric score is likely low to indicate that issue?"
+    choices:
+    - content: "Recall"
+      isCorrect: true
+      explanation: "That answer's correct. Recall indicates how well the model extracts entities, regardless of which entity that is."
+    - content: "Precision"
+      isCorrect: false
+      explanation: "That answer's incorrect. Recall indicates how well the model extracts entities, regardless of which entity that is."
+    - content: "F1 score"
+      isCorrect: false
+      explanation: "That answer's incorrect. Recall indicates how well the model extracts entities, regardless of which entity that is."
+  - content: "You just finished labeling your data. How and where is that file stored to train your model?"
+    choices:
+    - content: "JSON file, in my storage account container for the project"
+      isCorrect: true
+      explanation: "That answer's correct. The JSON file lives next to the dataset in your container for the model to use during training."
+    - content: "XML file, in my local project folder"
+      isCorrect: false
+      explanation: "That answer's incorrect. The JSON file lives next to the dataset in your container for the model to use during training."
+    - content: "YAML file, anywhere in my Azure account"
+      isCorrect: false
+      explanation: "That answer's incorrect. The JSON file lives next to the dataset in your container for the model to use during training."
+  - content: "You train your model with only one source of documents, even though real extraction tasks will come from several sources. What data quality metric do you need to increase?"
+    choices:
+    - content: "Distribution"
+      isCorrect: false
+      explanation: "That answer's incorrect. Having the right data diversity will lead to better extraction performance."
+    - content: "Accuracy"
+      isCorrect: false
+      explanation: "That answer's incorrect. Having the right data diversity will lead to better extraction performance."
+    - content: "Diversity"
+      isCorrect: true
+      explanation: "That answer's correct. Having the right data diversity will lead to better extraction performance."
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/7-summary.yml

@@ -1,16 +1,16 @@
-### YamlMime:ModuleUnit
-uid: learn.wwl.custom-name-entity-recognition.summary
-title: Summary
-metadata:
-  title: Summary
-  description: Summary
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.topic: unit
-  ms.collection:
-    - wwl-ai-copilot
-durationInMinutes: 1
-content: |
-  [!include[](includes/7-summary.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.wwl.custom-name-entity-recognition.summary
+title: Summary
+metadata:
+  title: Summary
+  description: Summary
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.topic: unit
+  ms.collection:
+    - wwl-ai-copilot
+durationInMinutes: 1
+content: |
+  [!include[](includes/7-summary.md)]
+

learn-pr/wwl-data-ai/custom-name-entity-recognition/index.yml

@@ -1,42 +1,42 @@
-### YamlMime:Module
-uid: learn.wwl.custom-name-entity-recognition
-metadata:
-  title: Custom named entity recognition
-  description: Custom named entity recognition
-  author: wwlpublish
-  ms.author: berryivor
-  ms.date: 2/21/2024
-  ms.service: azure-ai-services
-  ms.topic: module-standard-task-based
-  ms.collection:
-    - wwl-ai-copilot
-title: Custom named entity recognition
-summary: Build a custom entity recognition solution to extract entities from unstructured documents
-abstract: |
-  After completing this module, you'll be able to:
-  - Understand tagging entities in extraction projects
-  - Understand how to build entity recognition projects
-prerequisites: |
-  Before starting this module, you should be familiar with:
-  - The Azure portal
-  - General functionality of Azure AI Services
-  - General programming technique
-iconUrl: /training/achievements/2-custom-name-entity-recognition.svg
-levels:
-- intermediate
-roles:
-- ai-engineer
-- developer
-products:
-- ai-services
-units:
-- learn.wwl.custom-name-entity-recognition.introduction
-- learn.wwl.custom-name-entity-recognition.understand-custom-named
-- learn.wwl.custom-name-entity-recognition.tag-your-data
-- learn.wwl.custom-name-entity-recognition.train-evaluate-your-model
-- learn.wwl.custom-name-entity-recognition.exercise-extract-custom-entities
-- learn.wwl.custom-name-entity-recognition.knowledge-check
-- learn.wwl.custom-name-entity-recognition.summary
-badge:
-  uid: learn.wwl.custom-name-entity-recognition.badge
-
+### YamlMime:Module
+uid: learn.wwl.custom-name-entity-recognition
+metadata:
+  title: Custom named entity recognition
+  description: Custom named entity recognition
+  author: ivorb
+  ms.author: berryivor
+  ms.date: 05/01/2025
+  ms.service: azure-ai-services
+  ms.topic: module-standard-task-based
+  ms.collection:
+    - wwl-ai-copilot
+title: Custom named entity recognition
+summary: Build a custom entity recognition solution to extract entities from unstructured documents
+abstract: |
+  After completing this module, you'll be able to:
+  - Understand tagging entities in extraction projects
+  - Understand how to build entity recognition projects
+prerequisites: |
+  Before starting this module, you should be familiar with:
+  - The Azure portal
+  - General functionality of Azure AI Services
+  - General programming technique
+iconUrl: /training/achievements/2-custom-name-entity-recognition.svg
+levels:
+- intermediate
+roles:
+- ai-engineer
+- developer
+products:
+- ai-services
+units:
+- learn.wwl.custom-name-entity-recognition.introduction
+- learn.wwl.custom-name-entity-recognition.understand-custom-named
+- learn.wwl.custom-name-entity-recognition.tag-your-data
+- learn.wwl.custom-name-entity-recognition.train-evaluate-your-model
+- learn.wwl.custom-name-entity-recognition.exercise-extract-custom-entities
+- learn.wwl.custom-name-entity-recognition.knowledge-check
+- learn.wwl.custom-name-entity-recognition.summary
+badge:
+  uid: learn.wwl.custom-name-entity-recognition.badge
+