[DOCS] Adds disclaimer to semantic search tutorials.

docs/reference/search/search-your-data/semantic-search-elser.asciidoc

@@ -135,6 +135,10 @@ a list of relevant text passages. All unique passages, along with their IDs,
 have been extracted from that data set and compiled into a
 https://github.com/elastic/stack-docs/blob/main/docs/en/stack/ml/nlp/data/msmarco-passagetest2019-unique.tsv[tsv file].
 
+IMOPRTANT: The `msmarco-passagetest2019-top1000` data set was not used to train 
+the model. It is only utilized in this tutorial as sample data that is easily 
+accessible for demonstration purposes.
+
 Download the file and upload it to your cluster using the
 {kibana-ref}/connect-to-elasticsearch.html#upload-data-kibana[Data Visualizer]
 in the {ml-app} UI. Assign the name `id` to the first column and `content` to

docs/reference/search/search-your-data/semantic-search-inference.asciidoc

@@ -66,6 +66,10 @@ a list of relevant text passages. All unique passages, along with their IDs,
 have been extracted from that data set and compiled into a
 https://github.com/elastic/stack-docs/blob/main/docs/en/stack/ml/nlp/data/msmarco-passagetest2019-unique.tsv[tsv file].
 
+IMOPRTANT: The `msmarco-passagetest2019-top1000` data set was not used to train 
+the models. It is only utilized in this tutorial as sample data that is easily 
+accessible for demonstration purposes.
+
 Download the file and upload it to your cluster using the
 {kibana-ref}/connect-to-elasticsearch.html#upload-data-kibana[Data Visualizer]
 in the {ml-app} UI. Assign the name `id` to the first column and `content` to