Merge branch 'main' into baseline-fedrep

adap · Sep 30, 2024 · 8fc6291 · 8fc6291
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diff --git a/benchmarks/flowertune-llm/README.md b/benchmarks/flowertune-llm/README.md
@@ -64,5 +64,5 @@ following the `README.md` in [`evaluation`](https://github.com/adap/flower/tree/
 
 
 > [!NOTE]
-> If you have any questions about running FlowerTune LLM challenges or evaluation, please feel free to make posts at [Flower Discuss](https://discuss.flower.ai) forum, 
+> If you have any questions about running FlowerTune LLM challenges or evaluation, please feel free to make posts at our dedicated [FlowerTune Category](https://discuss.flower.ai/c/flowertune-llm-leaderboard/) on [Flower Discuss](https://discuss.flower.ai) forum, 
 or join our [Slack channel](https://flower.ai/join-slack/) to ask questions in the `#flowertune-llm-leaderboard` channel.
diff --git a/datasets/doc/source/index.rst b/datasets/doc/source/index.rst
@@ -3,14 +3,7 @@ Flower Datasets
 
 Flower Datasets (``flwr-datasets``) is a library that enables the quick and easy creation of datasets for federated learning/analytics/evaluation. It enables heterogeneity (non-iidness) simulation and division of datasets with the preexisting notion of IDs. The library was created by the ``Flower Labs`` team that also created `Flower <https://flower.ai>`_ : A Friendly Federated Learning Framework.
 
-.. raw:: html
-
-  <script
-    type="module"
-    src="https://gradio.s3-us-west-2.amazonaws.com/4.44.0/gradio.js"
-  ></script>
-
-  <gradio-app src="https://flwrlabs-federated-learning-datasets-by-flwr-datasets.hf.space"></gradio-app>
+Try out an interactive demo to generate code and visualize heterogeneous divisions at the :ref:`bottom of this page<demo>`.
 
 Flower Datasets Framework
 -------------------------
@@ -142,7 +135,6 @@ What makes Flower Datasets stand out from other libraries?
 
   * New custom partitioning schemes (``Partitioner`` subclasses) integrated with the whole ecosystem.
 
-
 Join the Flower Community
 -------------------------
 
@@ -153,3 +145,16 @@ The Flower Community is growing quickly - we're a friendly group of researchers,
     :shadow:
 
     Join us on Slack
+
+.. _demo:
+Demo
+----
+
+.. raw:: html
+
+  <script
+    type="module"
+    src="https://gradio.s3-us-west-2.amazonaws.com/4.44.0/gradio.js"
+  ></script>
+
+  <gradio-app src="https://flwrlabs-federated-learning-datasets-by-flwr-datasets.hf.space"></gradio-app>