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trec-covid.pisa

Description

A PISA Index for CORD19 (the corpus for the TREC-COVID query set)

Usage

# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('pyterrier/trec-covid.pisa')
index.bm25() # returns a BM25 retriever

Benchmarks

name nDCG@10 R@1000
bm25 0.6254 0.4462
dph 0.6633 0.4136

Reproduction

import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_pisa import PisaIndex
index = PisaIndex("trec-covid.pisa", threads=16)
dataset = ir_datasets.load('beir/trec-covid')
docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
index.index(docs)

Metadata

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