fix links

Author: lgayhardt

articles/ai-foundry/concepts/evaluation-evaluators/agent-evaluators.md

@@ -186,5 +186,5 @@ If you're building agents outside of Azure AI Agent Service, this evaluator acce
 
 ## Related content
 
-- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets)  
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-test-datasets-using-evaluate)  
 - [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/evaluation-evaluators/azure-openai-graders.md

@@ -262,5 +262,5 @@ Aside from individual data evaluation results, the grader also returns a metric
 
 ## Related content
 
-- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets)  
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md##local-evaluation-on-test-datasets-using-evaluate)  
 - [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/evaluation-evaluators/custom-evaluators.md

@@ -151,4 +151,5 @@ friendliness_score = friendliness_eval(response="I will not apologize for my beh
 
 ## Related content
 
-- Learn [how to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets) and [how to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target).
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-test-datasets-using-evaluate)  
+- [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/evaluation-evaluators/general-purpose-evaluators.md

@@ -160,5 +160,5 @@ While F1 score outputs a numerical score on 0-1 float scale, the other evaluator
 
 ## Related content
 
-- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets)  
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-test-datasets-using-evaluate)  
 - [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/evaluation-evaluators/rag-evaluators.md

@@ -316,5 +316,5 @@ The numerical score on a likert scale (integer 1 to 5) and a higher score is bet
 
 ## Related content
 
-- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets)  
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md##local-evaluation-on-test-datasets-using-evaluate)  
 - [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/evaluation-evaluators/risk-safety-evaluators.md

@@ -485,4 +485,4 @@ The label field returns a boolean true or false based on whether or not either o
 ## Related content
 
 - Read the [Transparency Note for Safety Evaluators](../safety-evaluations-transparency-note.md) to learn more about its limitations, use cases and how it was evaluated for quality and accuracy.
-- Learn [how to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets) and [how to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target).
+- Learn [how to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-test-datasets-using-evaluate) and [how to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target).

articles/ai-foundry/concepts/evaluation-evaluators/textual-similarity-evaluators.md

@@ -217,5 +217,5 @@ The numerical score is a 0-1 float and a higher score is better. Given a numeric
 
 ## Related content
 
-- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-datasets)  
+- [How to run batch evaluation on a dataset](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-test-datasets-using-evaluate)
 - [How to run batch evaluation on a target](../../how-to/develop/evaluate-sdk.md#local-evaluation-on-a-target)

articles/ai-foundry/concepts/observability.md

@@ -42,7 +42,7 @@ Evaluators are specialized tools that measure the quality, safety, and reliabili
 | Response Completeness | Measures to what extent the response is complete (not missing critical information) with respect to the ground truth. |
 
 
-[**Agents (preview):**](./evaluation-evaluators/agent-evaluators.md)
+[**Agents:**](./evaluation-evaluators/agent-evaluators.md)
 
 | Evaluator | Purpose |
 |--|--|
@@ -60,7 +60,7 @@ Evaluators are specialized tools that measure the quality, safety, and reliabili
 | QA | Measures comprehensively various quality aspects in question-answering.|
 
 
-[**Safety and Security (preview):**](./evaluation-evaluators/risk-safety-evaluators.md)
+[**Safety and Security:**](./evaluation-evaluators/risk-safety-evaluators.md)
 
 | Evaluator | Purpose |
 |--|--|
@@ -86,7 +86,7 @@ Evaluators are specialized tools that measure the quality, safety, and reliabili
 | METEOR | Metric for Evaluation of Translation with Explicit Ordering measures overlaps in n-grams between response and ground truth. |
 
 
-[**Azure OpenAI Graders (preview):**](./evaluation-evaluators/azure-openai-graders.md)
+[**Azure OpenAI Graders:**](./evaluation-evaluators/azure-openai-graders.md)
 
 | Evaluator | Purpose |
 |--|--|