README.md

metadata

tags:
  - pyterrier
  - pyterrier-artifact
  - pyterrier-artifact.quality_score_cache
  - pyterrier-artifact.quality_score_cache.numpy
task_categories:
  - text-retrieval
viewer: false

epic.msmarco-passage.cache

Description

TODO: What is the artifact?

Usage

# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier-quality/epic.msmarco-passage.cache')
# TODO: Show how you use the artifact

Benchmarks

TODO: Provide benchmarks for the artifact.

Reproduction

# TODO: Show how you constructed the artifact.

Metadata

{
  "type": "quality_score_cache",
  "format": "numpy",
  "package_hint": "pyterrier-quality",
  "count": 8841823
}