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Conference Papers Year : 2020

Experimaestro and Datamaestro

Abstract

Ensuring reproducibility is key to all scientific domains. As Information Retrieval (IR) experiments are often composed of several steps that can be shared between tested models, and rely on various resources, it is difficult to keep track of all the experimental settings and to ensure experiments can be reproduced easily. In this demo paper, we present two managers, Experimaestro and Datamaestro, and their add-ons for IR, designed to help to define and run experimental plans. KEYWORDS Experiment manager, dataset manager ACM Reference Format: Benjamin Piwowarski. 2020. Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR). In
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Dates and versions

hal-02989011 , version 1 (05-11-2020)

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Benjamin Piwowarski. Experimaestro and Datamaestro. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Jul 2020, Virtual Event China, China. pp.2173-2176, ⟨10.1145/3397271.3401410⟩. ⟨hal-02989011⟩
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