diff --git a/geval.cabal b/geval.cabal
index ec75042..e48552b 100644
--- a/geval.cabal
+++ b/geval.cabal
@@ -1,5 +1,5 @@
 name:                geval
-version:             1.21.0.0
+version:             1.21.1.0
 synopsis:            Machine learning evaluation tools
 description:         Please see README.md
 homepage:            http://github.com/name/project
diff --git a/src/GEval/MetricsMeta.hs b/src/GEval/MetricsMeta.hs
index f65cde8..2158ba9 100644
--- a/src/GEval/MetricsMeta.hs
+++ b/src/GEval/MetricsMeta.hs
@@ -9,7 +9,8 @@ module GEval.MetricsMeta
    getEvaluationSchemeDescription,
    outContents,
    expectedScore,
-   allMetricsDescription)
+   allMetricsDescription,
+   helpMetricParameterMetricsList)
   where
 
 import GEval.Common
@@ -146,6 +147,12 @@ expectedScore (EvaluationScheme (ProbabilisticMultiLabelFMeasure beta) [])
         recall = 0.675
       in weightedHarmonicMean beta precision recall
 
+helpMetricParameterMetricsList :: String
+helpMetricParameterMetricsList = intercalate ", " $ map (\s -> (show s) ++ (case extraInfo s of
+                                                                             Just eI -> " (" ++ eI ++ ")"
+                                                                             Nothing -> ""))
+                                                    listOfAvailableEvaluationSchemes
+
 listOfAvailableEvaluationSchemes :: [EvaluationScheme]
 listOfAvailableEvaluationSchemes = map (\m -> EvaluationScheme m []) listOfAvailableMetrics
                                    ++ [
diff --git a/src/GEval/OptionsParser.hs b/src/GEval/OptionsParser.hs
index f2e7566..c870b78 100644
--- a/src/GEval/OptionsParser.hs
+++ b/src/GEval/OptionsParser.hs
@@ -27,7 +27,7 @@ import Data.Monoid ((<>))
 
 import GEval.Core
 import GEval.EvaluationScheme
-import GEval.MetricsMeta (extraInfo, listOfAvailableEvaluationSchemes, allMetricsDescription)
+import GEval.MetricsMeta (extraInfo, listOfAvailableEvaluationSchemes, allMetricsDescription, helpMetricParameterMetricsList)
 import GEval.Common
 import GEval.CreateChallenge
 import GEval.LineByLine
@@ -247,11 +247,7 @@ metricReader = many $ option auto         -- actually `some` should be used inst
                ( long "metric"            -- --metric might be in the config.txt file...
                  <> short 'm'
                  <> metavar "METRIC"
-                 <> help ("Metric to be used, e.g.:" ++ intercalate ", " (map
-                                                                          (\s -> (show s) ++ (case extraInfo s of
-                                                                                               Just eI -> " (" ++ eI ++ ")"
-                                                                                               Nothing -> ""))
-                                                                          listOfAvailableEvaluationSchemes)))
+                 <> help ("Metric to be used, e.g.:" ++ helpMetricParameterMetricsList))
 
 
 --                   RMSE, MSE, MAE, SMAPE, Pearson, Spearman, Accuracy, LogLoss, Likelihood, F-measure (specify as F1, F2, F0.25, etc.), macro F-measure (specify as Macro-F1, Macro-F2, Macro-F0.25, etc.), multi-label F-measure (specify as MultiLabel-F1, MultiLabel-F2, MultiLabel-F0.25, etc.), MultiLabel-Likelihood, MAP, BLEU, GLEU (\"Google GLEU\" not the grammar correction metric), WER, NMI, ClippEU, LogLossHashed, LikelihoodHashed, BIO-F1, BIO-F1-Labels, TokenAccuracy, soft F-measure (specify as Soft-F1, Soft-F2, Soft-F0.25), probabilistic soft F-measure (specify as Probabilistic-Soft-F1, Probabilistic-Soft-F2, Probabilistic-Soft-F0.25) or CharMatch" )