diff --git a/sleap_nn/config/__init__.py b/sleap_nn/config/__init__.py
deleted file mode 100644
index 16afead9..00000000
--- a/sleap_nn/config/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-"""Modules relating to configuring data pipelines."""
diff --git a/sleap_nn/config/data.py b/sleap_nn/config/data.py
deleted file mode 100644
index c8f81143..00000000
--- a/sleap_nn/config/data.py
+++ /dev/null
@@ -1,14 +0,0 @@
-"""This module implements base configurations for data pipelines."""
-
-from omegaconf import OmegaConf
-
-# Base TopDownConfmapsPipeline data config.
-base_topdown_data_config = OmegaConf.create(
-    {
-        "preprocessing": {
-            "crop_hw": (160, 160),
-            "conf_map_gen": {"sigma": 1.5, "output_stride": 2},
-        },
-        "augmentation_config": {"random_crop": 0.0, "random_crop_hw": (160, 160)},
-    }
-)
diff --git a/tests/data/test_pipelines.py b/tests/data/test_pipelines.py
index 023bafb9..feb6da6e 100644
--- a/tests/data/test_pipelines.py
+++ b/tests/data/test_pipelines.py
@@ -1,6 +1,6 @@
 import torch
+from omegaconf import OmegaConf
 
-from sleap_nn.config.data import base_topdown_data_config
 from sleap_nn.data.confidence_maps import ConfidenceMapGenerator
 from sleap_nn.data.instance_centroids import InstanceCentroidFinder
 from sleap_nn.data.instance_cropping import InstanceCropper
@@ -24,6 +24,16 @@ def test_sleap_dataset(minimal_instance):
 
 
 def test_topdownconfmapspipeline(minimal_instance):
+    base_topdown_data_config = OmegaConf.create(
+        {
+            "preprocessing": {
+                "crop_hw": (160, 160),
+                "conf_map_gen": {"sigma": 1.5, "output_stride": 2},
+            },
+            "augmentation_config": {"random_crop": 0.0, "random_crop_hw": (160, 160)},
+        }
+    )
+
     pipeline = TopdownConfmapsPipeline(data_config=base_topdown_data_config)
     datapipe = pipeline.make_base_pipeline(
         data_provider=LabelsReader, filename=minimal_instance
@@ -32,4 +42,4 @@ def test_topdownconfmapspipeline(minimal_instance):
     sample = next(iter(datapipe))
     assert len(sample) == 2
     assert sample[0].shape == (1, 160, 160)
-    assert sample[1].shape == (2, 80, 80)
\ No newline at end of file
+    assert sample[1].shape == (2, 80, 80)