diff --git a/src/configuration.py b/src/configuration.py
index 659522c..97cb2a1 100644
--- a/src/configuration.py
+++ b/src/configuration.py
@@ -160,8 +160,7 @@ Ensure to generate only the JSON output with content in English.
         # for key in data:
         #     example[key] = data[key]
 
-        config["length"] = random.choice([10, 20, 40, 80, 150])
-
+        config["length"] = random.choice([5, 6, 7, 8, 9, 10, 12, 14, 16, 18, 20, 40, 60, 80, 100, 150])
 
         return config
         
diff --git a/src/pipline.py.py b/src/pipline.py.py
index cc0932b..efe65af 100644
--- a/src/pipline.py.py
+++ b/src/pipline.py.py
@@ -5,7 +5,7 @@ import re
 import random
 import tqdm
 import pandas as pd
-
+import traceback
 
 def import_lib(path, file_name, package_name):
     file_path = path + "/" + file_name + ".py"
@@ -72,11 +72,14 @@ class Pipline:
     
 
     def exec_function(self, passage):
-        config = self.configuration.run(passage)
-        generated_data = self.query_generator.run(passage, config)
-        one_data = config.copy()
-        one_data["document"] = passage
-        one_data["query"] = generated_data["query"]
+        try:
+            config = self.configuration.run(passage)
+            generated_data = self.query_generator.run(passage, config)
+            one_data = config.copy()
+            one_data["document"] = passage
+            one_data["query"] = generated_data["query"]
+        except Exception as e:
+            one_data = {"passage": passage, "error": traceback.format_exc()}
         return one_data
     
 
@@ -128,7 +131,7 @@ class Pipline:
         data = self.load_data()
         chunk_data = self.pre_process(data)
 
-        num_data = 20
+        num_data = 25000
         num_threads = 5
 
         parallel_requester = ParallelRequester()