{'fraction_non_alphanumeric': 0.024657534246575342, 'fraction_numerical': 0.0136986301369863, 'mean_word_length': 5.1, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, '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}}
The Axiometrics Project

The evaluation of retrieval effectiveness has played and is playing a central role in Information Retrieval (IR). To evaluate the effectiveness of IR systems, more than 50 (maybe 100) different evaluation metrics have been proposed. In this paper we sketch our Axiometrics project, that aims to a formal account of IR effectiveness metrics.