README.md

metadata

pretty_name: MS MARCO Passage BM25 Corpus Graph (k=128)
tags:
  - pyterrier
  - pyterrier-artifact
  - pyterrier-artifact.corpus_graph
  - pyterrier-artifact.corpus_graph.np_topk
task_categories:
  - text-retrieval
viewer: false

MS MARCO Passage BM25 Corpus Graph (k=128)

Description

A corpus graph over MS MARCO passage constructed using PISA's BM25, with 128 neighbors per document.

Usage

# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.128')
# TODO: Show how you use the artifact

Benchmarks

TODO: Provide benchmarks for the artifact.

Reproduction

# TODO: Show how you constructed the artifact.

Metadata

{
  "type": "corpus_graph",
  "format": "np_topk",
  "doc_count": 8841823,
  "k": 128
}