README.md

metadata

tags:
  - pyterrier
  - pyterrier-artifact
  - pyterrier-artifact.sparse_index
  - pyterrier-artifact.sparse_index.pisa
task_categories:
  - text-retrieval
viewer: false

msmarco-passage.pisa

Description

TODO: What is the artifact?

Usage

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

Benchmarks

TODO: Provide benchmarks for the artifact.

Reproduction

# TODO: Show how you constructed the artifact.

Metadata

{
  "type": "sparse_index",
  "format": "pisa",
  "package_hint": "pyterrier-pisa",
  "stemmer": "porter2"
}