diff --git a/eval_scripts/test.sh b/eval_scripts/test.sh
index dee61de..b47e15e 100755
--- a/eval_scripts/test.sh
+++ b/eval_scripts/test.sh
@@ -13,7 +13,7 @@ else
     collection="robust04_2cv"
 fi
 
-if [ ${tune_params} == "True" ] ; then
+if [ ${tune_params} ] ; then
     declare -a sents=("a" "ab" "abc")
 
     ./eval_scripts/train.qqsh ${experiment} ${num_folds} ${anserini_path}
diff --git a/src/eval_bert.py b/src/eval_bert.py
index 262e015..9f2a9fe 100644
--- a/src/eval_bert.py
+++ b/src/eval_bert.py
@@ -48,8 +48,6 @@ def load_bert_scores(pred_file, query_dict, sent_dict):
 def calc_q_doc_bert(score_dict, run_file, topics, top_doc_dict, bm25_dict,
                     topKSent, alpha, beta, gamma):
     run_file = open(os.path.join('runs', run_file), "w")
-
-    doc_scores = {}
     for q in topics:
         doc_score_dict = {}
         for d in top_doc_dict[q]:
@@ -64,11 +62,9 @@ def calc_q_doc_bert(score_dict, run_file, topics, top_doc_dict, bm25_dict,
                 score_list.append(s)
                 sum_score += s * w
             doc_score_dict[d] = alpha * bm25_dict[q][d] + (1.0 - alpha) * sum_score
-            doc_scores[d] = (bm25_dict[q][d], sum_score, doc_score_dict[d])  # used only for interactive querying where len(topics) = 1
 
         doc_score_dict = sorted(doc_score_dict.items(), key=operator.itemgetter(1), reverse=True)
         rank = 1
-        # print(doc_score_dict)
         for doc, score in doc_score_dict:
             run_file.write("{} Q0 {} {} {} BERT\n".format(q, doc, rank, score))
             rank += 1
diff --git a/src/main.py b/src/main.py
index 5edc019..774336a 100644
--- a/src/main.py
+++ b/src/main.py
@@ -66,17 +66,14 @@ def main():
 
         top_doc_dict, doc_bm25_dict, sent_dict, q_dict, doc_label_dict = eval_bm25(collection_path)
         score_dict = load_bert_scores(predictions_path, q_dict, sent_dict)
-        topics = test_topics if not args.interactive else list(q_dict.keys())
-
-        print(topics)
 
         if args.interactive:
             top_rank_docs = visualize_scores(collection_path, score_dict)
             with open(os.path.join(args.data_path, 'query_sent_scores.csv'), 'w') as scores_file:
                 for doc in top_rank_docs[:100]:
-                    scores_file.write('{} | {} | {} | {} | {}\n'.format(doc[0], sentid2text[doc[0]], doc[1], doc[2], 'BM25' if doc[3] > 0 else 'BERT'))
+                    scores_file.write('{}\t{}\t{}\t{}\t{}\n'.format(doc[0], sentid2text[doc[0]], doc[1], doc[2], 'BM25' if doc[3] > 0 else 'BERT'))
                 for doc in top_rank_docs[-100:]:
-                    scores_file.write('{} | {} | {} | {} | {}\n'.format(doc[0], sentid2text[doc[0]], doc[1], doc[2], 'BM25' if doc[3] > 0 else 'BERT'))
+                    scores_file.write('{}\t{}\t{}\t{}\t{}\n'.format(doc[0], sentid2text[doc[0]], doc[1], doc[2], 'BM25' if doc[3] > 0 else 'BERT'))
 
         if not os.path.isdir('runs'):
             os.mkdir('runs')
@@ -100,8 +97,7 @@ def main():
                                         round(b, 2), round(g, 2), map_score)
 
         elif mode == 'test':
-            topics = test_topics if not args.interactive else list(
-                q_dict.keys())
+            topics = test_topics if not args.interactive else list(q_dict.keys())
             calc_q_doc_bert(score_dict,
                             'run.' + experiment + '.cv.test.' + str(test_folder_set),
                             topics, top_doc_dict, doc_bm25_dict, topK, alpha,