<commit_before>In this paper a question answering system including passage retrieval and answer 
extraction is described and evaluated.
The question answering system described is designed for Swedish questions and answers, and 
uses Swedish Wikipedia as its data source. The system is trained using transcribed 
questions from the Swedish board game Kvitt eller dubbelt. These questions are also used 
for testing.

The main tools used when developing the system was Apache Lucene, Stagger and Liblinear.<commit_msg>was -> were<commit_after>In this paper a question answering system including passage retrieval and answer 
extraction is described and evaluated.
The question answering system described is designed for Swedish questions and answers, and 
uses Swedish Wikipedia as its data source. The system is trained using transcribed 
questions from the Swedish board game Kvitt eller dubbelt. These questions are also used 
for testing.

The main tools used when developing the system were Apache Lucene, Stagger and Liblinear.
{'fraction_non_alphanumeric': 0.02133850630455868, 'fraction_numerical': 0.0, 'mean_word_length': 5.142857142857143, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1656697', 'n_tokens_mistral': 222, 'n_tokens_neox': 213, 'n_words': 146}