diff --git a/examples/frameworks/hydra/config_files/config.yaml b/examples/frameworks/hydra/config_files/config.yaml
new file mode 100644
index 00000000..7b1a7600
--- /dev/null
+++ b/examples/frameworks/hydra/config_files/config.yaml
@@ -0,0 +1,8 @@
+# data
+dataset:
+  data: rawdata.csv
+  user: root
+  password: password
+
+pipeline:
+  pipeline_1: my_pipeline
diff --git a/examples/frameworks/hydra/hydra_example.py b/examples/frameworks/hydra/hydra_example.py
new file mode 100644
index 00000000..aa39b71b
--- /dev/null
+++ b/examples/frameworks/hydra/hydra_example.py
@@ -0,0 +1,20 @@
+# ClearML - Hydra Example
+#
+import hydra
+
+from omegaconf import OmegaConf
+
+from clearml import Task
+
+
+@hydra.main(config_path="config_files", config_name="config")
+def my_app(cfg):
+    # type (DictConfig) -> None
+    task = Task.init(project_name="examples", task_name="hydra configuration")
+    logger = task.get_logger()
+    logger.report_text("You can view your full hydra configuration under Configuration tab in the UI")
+    print(OmegaConf.to_yaml(cfg))
+
+
+if __name__ == "__main__":
+    my_app()
diff --git a/examples/frameworks/hydra/requirements.txt b/examples/frameworks/hydra/requirements.txt
new file mode 100644
index 00000000..36c7af95
--- /dev/null
+++ b/examples/frameworks/hydra/requirements.txt
@@ -0,0 +1,2 @@
+clearml
+hydra-core
\ No newline at end of file
diff --git a/examples/frameworks/lightgbm/train_with_lightbgm.py b/examples/frameworks/lightgbm/lightgbm_example.py
similarity index 96%
rename from examples/frameworks/lightgbm/train_with_lightbgm.py
rename to examples/frameworks/lightgbm/lightgbm_example.py
index c12a4a24..b5084e04 100644
--- a/examples/frameworks/lightgbm/train_with_lightbgm.py
+++ b/examples/frameworks/lightgbm/lightgbm_example.py
@@ -8,7 +8,7 @@ from clearml import Task
 
 # Connecting ClearML with the current process,
 # from here on everything is logged automatically
-task = Task.init(project_name="examples", task_name="LIGHTgbm")
+task = Task.init(project_name="examples", task_name="LightGBM")
 
 print('Loading data...')
 
diff --git a/examples/reporting/artifacts_retrieval.py b/examples/reporting/artifacts_retrieval.py
new file mode 100644
index 00000000..30b607aa
--- /dev/null
+++ b/examples/reporting/artifacts_retrieval.py
@@ -0,0 +1,64 @@
+# ClearML - example code, retrieve other task artifacts and print the artifacts
+# Please run examples/reporting/artifacts.py example before running this example
+#
+from pprint import pprint
+
+from clearml import Task
+
+
+def main():
+    # Getting the task we want to get the artifacts from
+    artifacts_task = Task.get_task(project_name='ClearML Examples', task_name='artifacts example')
+
+    # getting the numpy object back
+    numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get()
+    print("numpy_artifact is:\n{}\n".format(numpy_artifact))
+
+    # download the numpy object as a npz file
+    download_numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get_local_copy()
+    print("download_numpy_artifact path is:\n{}\n".format(download_numpy_artifact))
+
+    # getting the PIL Image object
+    pil_artifact = artifacts_task.artifacts['pillow_image'].get()
+    print("pil_artifact is:\n{}\n".format(pil_artifact))
+
+    # getting the pandas object
+    pandas_artifact = artifacts_task.artifacts['Pandas'].get()
+    print("pandas_artifact is:\n{}\n".format(pandas_artifact))
+
+    # getting the dictionary object
+    dictionary_artifact = artifacts_task.artifacts['dictionary'].get()
+    print("dictionary_artifact is:\n")
+    pprint(dictionary_artifact)
+
+    # getting the train DataFrame
+    df_artifact = artifacts_task.artifacts['train'].get()
+    print("df_artifact is:\n{}\n".format(df_artifact))
+
+    # download the train DataFrame csv in the same format as in the UI (gz file)
+    df_artifact_as_gz = artifacts_task.artifacts['train'].get_local_copy()
+    print("df_artifact_as_gz path is:\n{}\n".format(df_artifact_as_gz))
+
+    # download the wildcard jpegs images (getting the zip file already extracted into a cached folder),
+    # the path containing those will be returned
+    jpegs_artifact = artifacts_task.artifacts['wildcard jpegs'].get()
+    print("jpegs_artifact path is:\n{}\n".format(jpegs_artifact))
+
+    # download the local folder that was uploaded (getting the zip file already extracted into a cached folder),
+    # the path containing those will be returned
+    local_folder_artifact = artifacts_task.artifacts['local folder'].get()
+    print("local_folder_artifact path is:\n{}\n".format(local_folder_artifact))
+
+    # download the local folder that was uploaded (getting the zip file without extracting it),
+    # the path containing the zip file will be returned
+    local_folder_artifact_as_zip = artifacts_task.artifacts['local folder'].get_local_copy(extract_archive=False)
+    print("local_folder_artifact_as_zip path is:\n{}\n".format(local_folder_artifact_as_zip))
+
+    # download the local file that was uploaded (getting the zip file already extracted into a cached folder),
+    # the path containing this file will be returned
+    local_file_artifact = artifacts_task.artifacts['local file'].get()
+    print("local_file_artifact path is:\n{}\n".format(local_file_artifact))
+
+
+if __name__ == '__main__':
+    main()