diff --git a/gen_vetted_avg_stats-v1.py b/gen_vetted_avg_stats-v1.py
deleted file mode 100644
index befcd18..0000000
--- a/gen_vetted_avg_stats-v1.py
+++ /dev/null
@@ -1,130 +0,0 @@
-import json
-
-
-def get_ontology_string(ont_stats_str_file):
-    # extract substring from file name to get the ontology name
-    start = ont_stats_str_file.find('ont')
-    end = ont_stats_str_file.find('_llm')
-    ont_name = ont_stats_str_file[start:end]
-    return ont_name
-
-
-def load_jsonl(src_file):
-    data = [json.loads(line) for line in open(src_file, 'r', encoding='utf-8')]
-    return data
-
-def load_json(src_file):
-    with open(src_file, 'r', encoding='utf-8') as f:
-        source = json.load(f)
-        return source
-
-def load_selected_ids_for_onto(ont_vetted_stat_file):
-    print(f"ont_vetted_stat_file {ont_vetted_stat_file}")
-    list_of_ids = []
-    data = [list_of_ids.append(preprocess(line)) for line in open(ont_vetted_stat_file, 'r', encoding='utf-8')]
-    print(list_of_ids)
-
-    return list_of_ids
-
-def preprocess(line):
-    if line.endswith('\n'):
-        line = line[:-1]
-    return line
-
-if __name__ == "__main__":
-
-    path = 'src/ont_'
-    #ont_response_files = glob.glob(path + '*llm_stats.json')
-    ont_stat_files = ['src/ont_1_movie_llm_stats.jsonl', 'src/ont_2_music_llm_stats.jsonl', 'src/ont_3_sport_llm_stats.jsonl',
-     'src/ont_4_book_llm_stats.jsonl', 'src/ont_5_military_llm_stats.jsonl', 'src/ont_6_computer_llm_stats.jsonl', 'src/ont_7_space_llm_stats.jsonl',
-     'src/ont_8_politics_llm_stats.jsonl', 'src/ont_9_nature_llm_stats.jsonl', 'src/ont_10_culture_llm_stats.jsonl']
-
-    ont_stat_vetted_files = ['src/selected_ont_1_movie.txt', 'src/selected_ont_2_music.txt', 'src/selected_ont_3_sport.txt', 'src/selected_ont_4_book.txt',
-                      'src/selected_ont_5_military.txt', 'src/selected_ont_6_computer.txt', 'src/selected_ont_7_space.txt', 'src/selected_ont_8_politics.txt',
-                      'src/selected_ont_9_nature.txt', 'src/selected_ont_10_culture.txt']
-
-
-
-
-    prompts = []
-    prompts_json = []
-
-
-    print(ont_stat_files)
-    stats_json = []
-    index= -1
-    for ont_stat_file in ont_stat_files:  # iterate through all the llm ontology response files
-
-        ont_str = get_ontology_string(ont_stat_file)
-        ont_stat_id = ont_str  #+ '_avg_stats'
-        print(f"ont_str {ont_str}")
-        #exit(0)
-        ont_stats = load_jsonl(ont_stat_file)
-        #print(f"len ont_stats {len(selected_ids_for_onto)}")
-        index += 1
-        avg_precision = 0
-        avg_recall = 0
-        avg_f1 = 0
-        avg_ont_conformance = 0
-        avg_ont_rel_hallucinations = 0
-        avg_ont_subj_hallucinations = 0
-        avg_ont_obj_hallucinations = 0
-
-        selected_ids_for_onto = list()
-        selected_ids_for_onto = load_selected_ids_for_onto(ont_stat_vetted_files[index])
-        if len(selected_ids_for_onto) == 0:
-            continue
-
-        #print(selected_ids_for_onto)
-
-        for ont_stat in ont_stats:
-            sent_id = ont_stat['id']
-            if sent_id not in selected_ids_for_onto:
-                continue
-            else:
-                avg_precision = ont_stat['precision'] + avg_precision
-                avg_recall = ont_stat['recall'] + avg_recall
-                avg_f1 = ont_stat['f1'] + avg_f1
-                avg_ont_conformance = ont_stat['ont_conformance'] + avg_ont_conformance
-                avg_ont_rel_hallucinations = ont_stat['ont_rel_hallucinations'] + avg_ont_rel_hallucinations
-                avg_ont_subj_hallucinations = ont_stat['ont_subj_hallucinations'] + avg_ont_subj_hallucinations
-                avg_ont_obj_hallucinations = ont_stat['ont_obj_hallucinations'] + avg_ont_obj_hallucinations
-
-        avg_precision = float('{0: .2f}'.format(avg_precision / len(selected_ids_for_onto)))
-        avg_recall = float('{0: .2f}'.format(avg_recall / len(selected_ids_for_onto)))
-        avg_f1 = float('{0: .2f}'.format(avg_f1 / len(selected_ids_for_onto)))
-        avg_ont_conformance = float('{0: .2f}'.format(avg_ont_conformance / len(selected_ids_for_onto)))
-        avg_ont_rel_hallucinations = float('{0: .2f}'.format(avg_ont_rel_hallucinations / len(selected_ids_for_onto)))
-        avg_ont_subj_hallucinations = float('{0: .2f}'.format(avg_ont_subj_hallucinations / len(selected_ids_for_onto)))
-        avg_ont_obj_hallucinations = float('{0: .2f}'.format(avg_ont_obj_hallucinations / len(selected_ids_for_onto)))
-
-        my_dict = {}
-        my_dict['id'] = ont_stat_id
-
-        my_dict['P'] = avg_precision
-        my_dict['R'] = avg_recall
-        my_dict['F1'] = avg_f1
-        my_dict['Ont_Conf'] = avg_ont_conformance
-        my_dict['Ont_Subj_Halluci'] = avg_ont_subj_hallucinations
-        my_dict['Ont_Rel_Halluci'] = avg_ont_rel_hallucinations
-        my_dict['Ont_Obj_Halluci'] = avg_ont_obj_hallucinations
-
-        #print(f"avg_precision {avg_precision}")
-        #print(f"avg_recall {avg_recall}")
-        #print(f"avg_f1 {avg_f1}")
-        #print(f"avg_ont_conformance {avg_ont_conformance}")
-        #print(f"avg_ont_rel_hallucinations {avg_ont_rel_hallucinations}")
-        #print(f"avg_ont_subj_hallucinations {avg_ont_subj_hallucinations}")
-        #print(f"avg_ont_obj_hallucinations {avg_ont_obj_hallucinations}")
-
-        stats_json.append(my_dict)
-        # exit(0)
-
-    for elem in stats_json:
-        # ont_1_movie_prompts.json
-        path = 'src/ont_llm_vetted_avg_stats.jsonl'
-
-        with open(path, 'a+', encoding='utf-8') as f:
-            json.dump(elem, f)
-            f.write('\n')
-