diff --git a/bris/schema/schema.json b/bris/schema/schema.json
index 2bf92f9..7339f55 100644
--- a/bris/schema/schema.json
+++ b/bris/schema/schema.json
@@ -127,8 +127,7 @@
                     "type": "object",
                     "properties": {
                         "dataset": {
-                            "description": "Anemoi datasets open_dataset recipe, dictionary",
-                            "type": "object"
+                            "description": "Anemoi datasets open_dataset recipe, dictionary"
                         },
                         "variable": {
                             "description": "Variable name",
diff --git a/config/working_example.yaml b/config/working_example.yaml
new file mode 100644
index 0000000..265e100
--- /dev/null
+++ b/config/working_example.yaml
@@ -0,0 +1,70 @@
+defaults:
+  - override hydra/job_logging: none
+  - override hydra/hydra_logging: none
+  - _self_
+
+start_date: 2023-05-31T18:00:00
+end_date: 2023-06-01T12:00:00 #2024-06-01T01:00:00
+
+checkpoint_path: /pfs/lustrep4/scratch/project_465001383/aifs/experiments/reference/o96_pretrain/checkpoint/3fb85b72ba9647d5ae4fe86ce1b5a885/inference-last.ckpt
+
+leadtimes: 12
+timestep: 6h
+frequency: 6h
+
+deterministic: True
+
+# If the user wants to release GPU cache and memory
+# This option releases unused cached/memory used by torch
+release_cache: False
+
+dataloader:
+  batch_size: 1
+  prefetch_factor: 2
+  num_workers: 1
+  pin_memory: True
+
+  read_group_size: 1 #Do not change this, not implemented properly
+
+  predict:
+    dataset: ${dataset}
+    drop: ['cp', 'u_600', 'v_600', 'z_600', 't_600', 'q_600', 'w_600', 'longitude', 'latitude']
+    start: ${start_date}
+    end: ${end_date}
+    frequency: ${frequency}
+    reorder: ${reorder}
+
+  datamodule:
+    _target_: bris.data.dataset.NativeGridDataset #anemoi.training.data.dataset.ZipDataset
+    _convert_: all
+
+hardware:
+  num_gpus_per_node: 8
+  num_gpus_per_model: 8
+  num_nodes: 1
+
+dataset: aifs-od-an-oper-0001-mars-n320-2023-2024-6h-v2.zarr
+workdir: test
+
+
+model:
+  _target_: bris.model.BrisPredictor
+  _convert_: all
+
+routing:
+  - decoder_index: 0
+    domain_index: 0
+    outputs:
+      - netcdf:
+          filename_pattern: /pfs/lustrep4/scratch/project_465001383/haugenha/anemoi-training-ref-updated/run-anemoi/lumi/predictions/n320_pred_%Y%m%dT%HZ.nc
+          variables: [2t, msl]
+      - verif:
+          filename: /pfs/lustrep4/scratch/project_465001383/haugenha/anemoi-training-ref-updated/run-anemoi/lumi/verif/2t/n320_at_ref.nc
+          variable: 2t
+          units: degC
+          obs_sources:
+            - verif:
+                filename: /pfs/lustrep4/scratch/project_465001383/aifs/old_project_misc/verification/202306_202405/t2m/AIFS_legendary_gnome_roll4.nc
+            - anemoidataset:
+                dataset: test.zarr
+                variable: 2t
diff --git a/tests/test_configs.py b/tests/test_configs.py
new file mode 100644
index 0000000..94f4e18
--- /dev/null
+++ b/tests/test_configs.py
@@ -0,0 +1,16 @@
+import os
+
+import bris.utils
+
+
+def test_1():
+    filenames = ["working_example.yaml"]
+    for filename in filenames:
+        full_filename = (
+            os.path.dirname(os.path.abspath(__file__)) + "/../config/" + filename
+        )
+        bris.utils.validate(full_filename)
+
+
+if __name__ == "__main__":
+    test_1()