[alessio to revert] a commit with examples

luarmr · luarmr · commit 94fdfac7cca1 · 2025-12-15T16:43:03.000-08:00
a
diff --git a/docs/source/tutorials/how_to_compare_two_ai_models_with_label_studio.md b/docs/source/tutorials/how_to_compare_two_ai_models_with_label_studio.md
@@ -12,8 +12,8 @@ thumbnail: /images/tutorials/tutorials-compare-ai-models.png
 meta_title: How to Compare Two AI Models with Label Studio
 meta_description: Learn how to compare and evaluate two AI models with the Label Studio SDK.
 is_enterprise: true
-is_starter_cloud: true
 badges: SDK, Agreement, CodeLab
+duration: 10-15 mins
 ---
 
 ## Why this matters
diff --git a/docs/source/tutorials/how_to_connect_Hugging_Face_with_Label_Studio_SDK.md b/docs/source/tutorials/how_to_connect_Hugging_Face_with_Label_Studio_SDK.md
@@ -11,6 +11,9 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-hugging-face-ls-sdk.png
 meta_title: How to Connect Hugging Face with Label Studio SDK
 meta_description: Learn how to create a NLP workflow by integrating Hugging Face datasets and models with Label Studio for annotation and active learning.
+is_starter_cloud: true
+badges: Agreement, CodeLab
+duration: 10-15 mins
 ---
 **A Complete Guide to Connecting Hugging Face and Label Studio**
 
diff --git a/docs/source/tutorials/how_to_create_a_Benchmark_and_Evaluate_your_models_with_Label_Studio.md b/docs/source/tutorials/how_to_create_a_Benchmark_and_Evaluate_your_models_with_Label_Studio.md
@@ -11,6 +11,8 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-ai-benchmark-and-eval.png
 meta_title: How to Connect Hugging Face with Label Studio SDK
 meta_description: Learn how to use the Label Studio SDK to create a high-quality benchmark dataset to evaluate multiple AI models
+badges: SDK, Agreement, CodeLab
+duration: 10-15 mins
 ---
 Evaluating models is only as good as the benchmark you test them against.  
 In this tutorial, you'll learn how to use **Label Studio** to create a high-quality benchmark dataset, label it with human expertise, and then evaluate multiple AI models against it — all using the **Label Studio SDK**.  
diff --git a/docs/source/tutorials/how_to_debug_agents_with_LangSmith_and_Label_Studio.md b/docs/source/tutorials/how_to_debug_agents_with_LangSmith_and_Label_Studio.md
@@ -11,6 +11,8 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-debug-agents-langsmith.png
 meta_title: How to Debug Agents with LangSmith and Label Studio
 meta_description: Learn how LangSmith and Label Studio can work together to debug and evaluate AI Agents.
+is_enterprise: true
+duration: 10-15 mins
 ---
 ## 0. Label Studio Requirements
 
diff --git a/docs/source/tutorials/how_to_embed_evaluation_workflows_in_your_research_stack_with_Label_Studio.md b/docs/source/tutorials/how_to_embed_evaluation_workflows_in_your_research_stack_with_Label_Studio.md
@@ -11,6 +11,9 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-eval-flows-research-stack.png
 meta_title: How to Embed Evaluation Workflows in Your Research Stack with Label Studio
 meta_description: Learn how to build an embedded evaluation workflow directly into your jupyer notebook with Label Studio.
+is_enterprise: true
+is_starter_cloud: true
+duration: 10-15 mins
 ---
 ## Label Studio Requirements
 
diff --git a/docs/source/tutorials/how_to_measure_inter_annotator_agreement_and_build_human_consensus.md b/docs/source/tutorials/how_to_measure_inter_annotator_agreement_and_build_human_consensus.md
@@ -11,6 +11,7 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-inter-annotator-agreement-and-consensus.png
 meta_title: "How to Measure Inter-Annotator Agreement and Build Human Consensus with Label Studio"
 meta_description: Learn how to measure inter-annotator agreement, build human consensus, establish ground truth and compare model predictions using the Label Studio SDK.
+duration: 10-15 mins
 ---
 
 This tutorial walks through a practical workflow to measure inter-annotator agreement, build human consensus, establish ground truth and
diff --git a/docs/source/tutorials/how_to_multi_turn_chat_evals_with_chainlit_and_label_studio.md b/docs/source/tutorials/how_to_multi_turn_chat_evals_with_chainlit_and_label_studio.md
@@ -11,6 +11,7 @@ report_bug_url: https://github.com/HumanSignal/awesome-label-studio-tutorials/is
 thumbnail: /images/tutorials/tutorials-eval-multi-turn-chainlit.png
 meta_title: "How to Evaluate Multi-Turn AI Conversations with Chainlit and Label Studio"
 meta_description: Learn how to create a Label Studio project for evaluating chatbot conversations using the Chatbot Evaluation template.
+duration: 10-15 mins
 ---
 This notebook demonstrates how to create a Label Studio project for evaluating chatbot conversations using the Chatbot Evaluation template.
 
