diff --git a/docs/source/asr/intro.rst b/docs/source/asr/intro.rst
index 8e2e3ba699ec..e655da836a76 100644
--- a/docs/source/asr/intro.rst
+++ b/docs/source/asr/intro.rst
@@ -28,6 +28,18 @@ we could integrate a language model that would improve our predictions, as well.
 
 And the entire end-to-end ASR model can be trained at once--a much easier pipeline to handle!
 
+A demo below allows evaluation of NeMo ASR models in multiple langauges from the browser:
+
+.. raw:: html
+
+    <iframe src="https://hf.space/embed/smajumdar/nemo_multilingual_language_id/+"
+    width="100%" class="gradio-asr"></iframe>
+
+    <script type="text/javascript" language="javascript">
+        $('.gradio-asr').css('height', $(window).height()+'px');
+    </script>
+
+
 The full documentation tree is as follows:
 
 .. toctree::
diff --git a/tutorials/Publish_NeMo_Model_On_Hugging_Face_Hub.ipynb b/tutorials/Publish_NeMo_Model_On_Hugging_Face_Hub.ipynb
index 1ecb17e83b06..a13174033e0c 100644
--- a/tutorials/Publish_NeMo_Model_On_Hugging_Face_Hub.ipynb
+++ b/tutorials/Publish_NeMo_Model_On_Hugging_Face_Hub.ipynb
@@ -458,6 +458,7 @@
     {
       "cell_type": "code",
       "source": [
+        "# Replace all spaces with `-`\n",
         "DATASETS = [\n",
         "    \"librispeech_asr\",\n",
         "    \"mozilla-foundation/common_voice_7_0\",\n",
@@ -466,11 +467,11 @@
         "    \"Switchboard-1\",\n",
         "    \"WSJ-0\",\n",
         "    \"WSJ-1\",\n",
-        "    \"National Singapore Corpus Part 1\",\n",
-        "    \"National Singapore Corpus Part 6\",\n",
-        "    \"VoxPopuli (EN)\",\n",
-        "    \"Europarl-ASR (EN)\",\n",
-        "    \"Multilingual LibriSpeech (2000 hours)\",\n",
+        "    \"National-Singapore-Corpus-Part-1\",\n",
+        "    \"National-Singapore-Corpus-Part-6\",\n",
+        "    \"VoxPopuli-(EN)\",\n",
+        "    \"Europarl-ASR-(EN)\",\n",
+        "    \"Multilingual-LibriSpeech-(2000-hours)\",\n",
         "]"
       ],
       "metadata": {
@@ -520,9 +521,14 @@
         "config = OmegaConf.structured(config)\n",
         "\n",
         "with open_dict(config):\n",
+        "  # Update `model_index` to `model-index`\n",
         "  model_index = config.pop('model_index')\n",
         "  config['model-index'] = model_index\n",
         "\n",
+        "  # Replace all spaces with `-` in datasets\n",
+        "  normalized_datasets = [ds_name.replace(\" \", \"-\") for ds_name in config['datasets']]\n",
+        "  config['datasets'] = OmegaConf.create(normalized_datasets)\n",
+        "\n",
         "print(OmegaConf.to_yaml(config))"
       ],
       "metadata": {