diff --git a/src/spikeinterface/widgets/sorting_summary.py b/src/spikeinterface/widgets/sorting_summary.py
index 7cd5b47c46..4b722db233 100644
--- a/src/spikeinterface/widgets/sorting_summary.py
+++ b/src/spikeinterface/widgets/sorting_summary.py
@@ -202,9 +202,11 @@ def plot_figpack(self, data_plot, **backend_kwargs):
         if dp.curation:
             if use_sortingview:
                 curation_class = vv_views.SortingCuration2
+                curation_kwargs = {"label_choices": dp.label_choices}
             else:
                 curation_class = vv_views.SortingCuration
-            v_curation = curation_class(label_choices=dp.label_choices)
+                curation_kwargs = {"default_label_options": dp.label_choices}
+            v_curation = curation_class(**curation_kwargs)
             v1 = vv_base.Splitter(
                 direction="vertical", item1=vv_views.LayoutItem(v_units_table), item2=vv_views.LayoutItem(v_curation)
             )
diff --git a/src/spikeinterface/widgets/utils_figpack.py b/src/spikeinterface/widgets/utils_figpack.py
index d43d3e1d21..0766a94390 100644
--- a/src/spikeinterface/widgets/utils_figpack.py
+++ b/src/spikeinterface/widgets/utils_figpack.py
@@ -101,9 +101,11 @@ def generate_unit_table_view(
         units_tables = make_units_table_from_sorting(sorting)
         # analyzer = None
 
+    unit_ids = make_serializable(sorting.unit_ids)
+
     if unit_properties is None:
         ut_columns = []
-        ut_rows = [vv_views.UnitsTableRow(unit_id=u, values={}) for u in sorting.unit_ids]
+        ut_rows = [vv_views.UnitsTableRow(unit_id=u, values={}) for u in unit_ids]
     else:
         # keep only selected columns
         unit_properties = np.array(unit_properties)
@@ -125,7 +127,7 @@ def generate_unit_table_view(
                 ut_columns.append(vv_views.UnitsTableColumn(key=col, label=col, dtype=txt_dtype))
 
         ut_rows = []
-        for unit_index, unit_id in enumerate(sorting.unit_ids):
+        for unit_index, unit_id in enumerate(unit_ids):
             row_values = {}
             for col in unit_properties:
                 values = units_tables[col].to_numpy()