diff --git a/README.md b/README.md
index fa3f6ef0..3e0ccc30 100644
--- a/README.md
+++ b/README.md
@@ -109,6 +109,17 @@ Note that model materializations and `on_schema_change` configs are defined in t
 
 > Configurations made in your dbt_project.yml file will override any configurations in a package (either in the dbt_project.yml file of the package, or in config blocks).
 
+### Selection of packages to upload
+
+By default, all packages are uploaded. Some users may be interested in choosing which packages to upload from non-execution datasets. Thus, we allow setting `artifacts_upload_packages` variable:
+
+```yml
+vars:
+  artifacts_upload_packages: ['my_package']
+```
+
+> Note: execution-type artifacts are not affected by this filter.
+
 ### Environment Variables
 
 If the project is running in dbt Cloud, the following five columns (<https://docs.getdbt.com/docs/dbt-cloud/using-dbt-cloud/cloud-environment-variables#special-environment-variables>) will be automatically populated in the fct_dbt__invocations model:
diff --git a/macros/upload_results/get_dataset_content.sql b/macros/upload_results/get_dataset_content.sql
index b34e39cd..c08c24cf 100644
--- a/macros/upload_results/get_dataset_content.sql
+++ b/macros/upload_results/get_dataset_content.sql
@@ -6,6 +6,10 @@
     {% elif dataset in ['seeds', 'snapshots', 'tests', 'models'] %}
         {# Use the nodes in the [graph](https://docs.getdbt.com/reference/dbt-jinja-functions/graph) to extract details #}
         {% set objects = graph.nodes.values() | selectattr("resource_type", "equalto", dataset[:-1]) | list %}
+        {# Optionally, filter by package_name #}
+        {% if var("artifacts_upload_packages", "all") != "all" %}
+            {% set objects = (objects | selectattr("package_name", "in", var("artifacts_upload_packages")) | list) %}
+        {% endif %}
     {% elif dataset in ['exposures', 'sources'] %}
         {# Use the [graph](https://docs.getdbt.com/reference/dbt-jinja-functions/graph) to extract details #}
         {% set objects = graph.get(dataset).values() | list %}