BEIR: PISA Indexes
Collection
13 items
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Updated
A PISA index for the Arguana dataset
# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('my terrier/arguana.pisa')
index.bm25() # returns a BM25 retriever
name | nDCG@10 | R@1000 |
---|---|---|
bm25 | 0.3436 | 0.9808 |
dph | 0.3502 | 0.9815 |
import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_pisa import PisaIndex
index = PisaIndex("arguana.pisa", threads=16)
dataset = ir_datasets.load('beir/arguana')
docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
index.index(docs)
{
"type": "sparse_index",
"format": "pisa",
"package_hint": "pyterrier-pisa",
"stemmer": "porter2"
}