diff --git a/tests/eval_data/eval_perf.py b/tests/eval_data/eval_perf.py
index 3db99954d7ed3c047b0b55629475465574da234a..61080c5795b2fb58b8914f472c603ddf6a87e987 100644
--- a/tests/eval_data/eval_perf.py
+++ b/tests/eval_data/eval_perf.py
@@ -16,12 +16,12 @@ fileformat = ".pdf"
 
 # Size of absolute runtime and slowdown graphs
 graph_size_perrank = (4,4)
-# Size of seperate opts and delay-full-kernelonly graphs
+# Size of separate opts and delay-full-kernelonly graphs
 graph_size_pertest = (5,4)
 
 # Number of columns in legend for runtime and slowdown graphs
 graph_legend_ncols_perrank = 2
-# Number of columns in legend for seperate opts and delay-full-kernelonly graphs
+# Number of columns in legend for separate opts and delay-full-kernelonly graphs
 graph_legend_ncols_pertest = 3
 
 # Color preset to use, may be 'presentation', 'thesis' or 'none'. Takes precedence over manual input.
@@ -38,7 +38,7 @@ color_must = 'gainsboro'
 hatch_std = ''
 # Hatching on optimized instrumentation (Only absolute runtime, slowdown graphs). Also used for ext whitelist in sepopts graph and full runtime in delay only graph
 hatch_opt = '//'
-# Hatching for seperate optimization graph for when all are applied
+# Hatching for separate optimization graph for when all are applied
 hatch_sepopt_allopts = '..'
 
 # Legends to draw. Bool list, order: stencil, transpose, minimd, minivite
@@ -177,7 +177,7 @@ create_slowdown_graph(transposedata, "transpose_ok", legends_slowdown[1])
 create_slowdown_graph(minimddata, "minimd_ok", legends_slowdown[2])
 create_slowdown_graph(minivitedata, "minivite_ok", legends_slowdown[3])
 
-# Prepare for seperate opts graph
+# Prepare for separate opts graph
 sepdata = data[data["ranks"] == toRange(192)]
 sepdata = sepdata.drop(["ranks"], axis=1)