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lsr-benchmark


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Author: Cosimo Rulli, Gijs Hendriksen, Carlos Lassance, Franco Maria Nardini, Rossano Venturini
Summary: The lsr-benchmark aims to support holistic evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness across diverse retrieval scenarios.
Latest version: 0.1.0
Required dependencies: click | ir-datasets | ir-measures | pyyaml | tira | tirex-tracker | tqdm
Optional dependencies: approvaltests | evaluate | parameterized | pyterrier | pytest | pytest-cov | ruff | spacy | trectools

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