diff --git a/src/data_selector/cli.py b/src/data_selector/cli.py
index 49c6be2..7a473b0 100644
--- a/src/data_selector/cli.py
+++ b/src/data_selector/cli.py
@@ -67,6 +67,15 @@ def version():
     default=',',
     help="File separator (csv).",
 )
+@click.option(
+    "-r",
+    "--nbOfRows",
+    "nb_rows",
+    type=int,
+    required=False,
+    default=10,
+    help="Number of rows to import from input_file.",
+)
 @click.option(
     "-S",
     "--select",
@@ -101,6 +110,7 @@ def select_cli(
     path_columns_to_delete: str,
     path_to_data_and_columns: str,
     file_sep: str,
+    nb_rows: int,
     data_frame=None
 ):
     """Start service to select Data to Keep/Delete"""
@@ -110,11 +120,12 @@ def select_cli(
         overwrite,
         file_format_in,
         file_format_out,
+        nb_rows,
         path_columns_to_keep,
         path_columns_to_delete,
         path_to_data_and_columns,
         file_sep,
-        data_frame
+        data_frame=data_frame
     )
 
 
diff --git a/src/data_selector/selector.py b/src/data_selector/selector.py
index 3950367..489638a 100644
--- a/src/data_selector/selector.py
+++ b/src/data_selector/selector.py
@@ -12,6 +12,7 @@ def select(
     overwrite: bool,
     input_format: str,
     format_choice: str,
+    nb_rows=1000,
     path_columns_to_keep=None,
     path_columns_to_delete=None,
     path_to_data_and_columns=None,
@@ -26,7 +27,7 @@ def select(
     user for the choices.
     """
     if data_frame is None:
-        data_frame = pd.read_csv(input_file)
+        data_frame = pd.read_csv(input_file, nrows=nb_rows, engine='python', sep=file_sep)
 
     print("\nINPUT :\n" + str(len(data_frame)) + " rows")
     print(str(len(data_frame.columns)) + " columns")
@@ -184,6 +185,7 @@ def select_data_and_column(
         for column in param_dict['column_names'].keys():
             for val in param_dict["column_names"][column]['value']:
                 list_inter_value.append(data_frame[data_frame[column] == val])
+                print(val)
             list_inter_column.append(pd.concat(list_inter_value))
             list_inter_value = []