fixes, images

Author: aahill

articles/cognitive-services/language-service/custom-text-analytics-for-health/concepts/data-formats.md

@@ -15,11 +15,13 @@ ms.custom: language-service-custom-ta4h
 
 # Accepted custom Text Analytics for health data formats
 
-If you are trying to [import your data](../how-to/create-project.md#import-project) into custom Text Analytics for health, it has to follow a specific format. If you don't have data to import, you can [create your project](../how-to/create-project.md) and use the Language Studio to [label your documents](../how-to/tag-data.md).
+Use this article to learn about formatting your data to be imported into custom text analytics for health.
+
+<!--If you are trying to [import your data](../how-to/create-project.md#import-project) into custom Text Analytics for health, it has to follow a specific format. If you don't have data to import, you can [create your project](../how-to/create-project.md) and use the Language Studio to [label your documents](../how-to/tag-data.md).-->
 
 ## Labels file format
 
-Your Labels file should be in the `json` format below to be used in [importing](../how-to/create-project.md#import-project) your labels into a project.
+Your Labels file should be in the `json` format below to be used when importing your labels into a project.
 
 ```json
 {
@@ -130,7 +132,7 @@ Your Labels file should be in the `json` format below to be used in [importing](
 
 ```
 
-|Key  |Placeholder  |Value  | Example |
+<!--|Key  |Placeholder  |Value  | Example |
 |---------|---------|----------|--|
 | `multilingual` | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily included in your training documents). See [language support](../language-support.md#) to learn more about multilingual support. | `true`|
 |`projectName`|`{PROJECT-NAME}`|Project name|`myproject`|
@@ -166,3 +168,4 @@ Your Labels file should be in the `json` format below to be used in [importing](
 ## Next steps
 * You can import your labeled data into your project directly. Learn how to [import project](../how-to/create-project.md#import-project)
 * See the [how-to article](../how-to/tag-data.md)  more information about labeling your data. When you're done labeling your data, you can [train your model](../how-to/train-model.md).  
+-->

articles/cognitive-services/language-service/custom-text-analytics-for-health/concepts/entity-components.md

@@ -13,7 +13,7 @@ ms.author: aahi
 ms.custom: language-service-custom-ta4h
 ---
 
-# Entity components
+# Entity components in custom text analytics for health
 
 In custom Text Analytics for health, entities are relevant pieces of information that are extracted from your unstructured input text. An entity can be extracted by different methods. They can be learned through context, matched from a list, or detected by a prebuilt recognized entity. Every entity in your project is composed of one or more of these methods, which are defined as your entity's components. When an entity is defined by more than one component, their predictions can overlap. You can determine the behavior of an entity prediction when its components overlap by using a fixed set of options in the **Entity options**.
 
@@ -104,4 +104,4 @@ When you do not combine components, you allow every component to act as an indep
 
 ## Next steps
 
-[Entities with prebuilt components](../../text-analytics-for-health/concepts/health-entity-categories.md)
+* [Entities with prebuilt components](../../text-analytics-for-health/concepts/health-entity-categories.md)

articles/cognitive-services/language-service/custom-text-analytics-for-health/concepts/evaluation-metrics.md

@@ -15,7 +15,7 @@ ms.custom: language-service-custom-ta4h
 
 # Evaluation metrics for custom Text Analytics for health models
 
-Your [dataset is split](../how-to/train-model.md#data-splitting) into two parts: a set for training, and a set for testing. The training set is used to train the model, while the testing set is used as a test for model after training to calculate the model performance and evaluation. The testing set is not introduced to the model through the training process, to make sure that the model is tested on new data.
+<!--Your [dataset is split](../how-to/train-model.md#data-splitting) into two parts: a set for training, and a set for testing. The training set is used to train the model, while the testing set is used as a test for model after training to calculate the model performance and evaluation. The testing set is not introduced to the model through the training process, to make sure that the model is tested on new data.-->
 
 Model evaluation is triggered automatically after training is completed successfully. The evaluation process starts by using the trained model to predict user defined entities for documents in the test set, and compares them with the provided data labels (which establishes a baseline of truth). The results are returned so you can review the model’s performance. User defined entities are **included** in the evaluation factoring in Learned and List components; Text Analytics for health prebuilt entities are **not** factored in the model evaluation. For evaluation, custom Text Analytics for health uses the following metrics:
 
@@ -148,5 +148,8 @@ Similarly,
 
 ## Next steps
 
+* [Custom text analytics for health overview](../overview.md)
+<!--
 * [View a model's performance in Language Studio](../how-to/view-model-evaluation.md)
 * [Train a model](../how-to/train-model.md)
+-->