Factual package intelligence from PyPI

lsr-benchmark 0.1.1 package intelligence

The lsr-benchmark aims to support holistic evaluations of the lexical sparse retrieval paradigm to contrast efficiency and effectiveness across diverse retrieval scenarios.

pip install lsr-benchmark

Current version
0.1.1
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.7 MiB
Release history
7 releases with files
Median release cadence
8 days

lsr-benchmark dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. click
  2. ir-datasets
  3. ir-measures
  4. pyyaml
  5. tira >=0.0.197
  6. tirex-tracker >=0.2.22
  7. tqdm

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

lsr-benchmark publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Security snapshot for lsr-benchmark 0.1.1

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .