{'fraction_non_alphanumeric': 0.02072538860103627, 'fraction_numerical': 0.015544041450777202, 'mean_word_length': 4.819277108433735, '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}}
Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019)

Reproducibility and replicability are key concepts in science, and 
it is therefore important for information retrieval (IR) platforms 
to aid in reproducing and replicating experiments. In this paper, 
we describe the creation of a Docker container for Terrier within 
the framework of the OSIRRC 2019 challenge, which allows typical 
runs to be reproduced on TREC Test Collections such as Robust04, 
GOV2, Core2018. In doing so, it is hoped that the produced Docker 
image can be of aid to other (re)producing baseline experiments on 
these test collections. Initiatives like OSIRRC are key in advancing 
these key concepts in the IR area. By making not only the source 
code available, but also the exact same environment and standardising inputs and outputs, it is possible to easily compare approaches 
and thereby improve the quality of the research for Information 
Retrieval.