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PISA index of the BRIGHT Sustainable Living collection for PyTerrier
Description
An PISA index of the sustainable-living subset of the BRIGHT dataset build with PyTerrier's PISA plugin.
Usage
You will need to install PyTerrier, and its PISA engine:
%pip install pyterrier
%pip install pyterrier-pisa
import pyterrier as pt
pisa_index = pt.Artifact.from_hf('pyterrier-tutorial/bright.sustainable.pisa.text')
pisa_bm25 = pisa_index.bm25(k1=0.9, b=0.4)
pisa_bm25.search("renewable energy and sustainable development").head(10)
Reproduction
from pyterrier_pisa import PisaIndex
pisa_path = "./bright-pisa-index"
if os.path.exists(pisa_path):
shutil.rmtree(pisa_path)
pisa_index = PisaIndex(
pisa_path,
text_field="text",
threads=2,
overwrite=True
)
dataset = pt.get_dataset('irds:bright/sustainable-living')
pisa_index.index(dataset.get_corpus_iter())
Metadata
{
"type": "sparse_index",
"format": "pisa",
"package_hint": "pyterrier-pisa",
"stemmer": "porter2"
}
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