diff --git a/data/wbm/fetch_process_wbm_dataset.py b/data/wbm/fetch_process_wbm_dataset.py
index 99cdaa94..34b6edf0 100644
--- a/data/wbm/fetch_process_wbm_dataset.py
+++ b/data/wbm/fetch_process_wbm_dataset.py
@@ -440,9 +440,8 @@ def fix_bad_struct_index_mismatch(material_id: str) -> str:
text=f"dataset cropped to within +/- {e_form_cutoff} eV/atom",
showarrow=False,
)
-fig.update_layout(
- xaxis_title="WBM formation energy (eV/atom)", margin=dict(l=10, r=10, t=40, b=10)
-)
+x_axis_title = "WBM uncorrected formation energy (eV/atom)"
+fig.update_layout(xaxis_title=x_axis_title, margin=dict(l=10, r=10, t=40, b=10))
# %%
diff --git a/data/wbm/readme.md b/data/wbm/readme.md
index 7bab9ee7..4049f211 100644
--- a/data/wbm/readme.md
+++ b/data/wbm/readme.md
@@ -21,6 +21,7 @@ The full set of processing steps used to curate the WBM test set from the raw da
- remove 6 pathological structures (with 0 volume)
- remove formation energy outliers below -5 and above 5 eV/atom (502 and 22 crystals respectively out of 257,487 total, including an anomaly of 500 structures at exactly -10 eV/atom)
+
WBM Formation energy distribution. 524 materials outside green dashed lines were discarded.
@@ -71,8 +72,7 @@ materialscloud:2021.68 includes a readme file with a description of the dataset,
## Data Plots
-Heatmap of elemental prevalence in WBM dataset.
-
+