metadata
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.sparse_index
- pyterrier-artifact.sparse_index.pisa
task_categories:
- text-retrieval
viewer: false
quora.pisa
Description
A PISA index for the Quora duplicate question dataset
Usage
# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('pyterrier/quora.pisa')
index.bm25() # returns a BM25 retriever
Benchmarks
quora/dev
| name | nDCG@10 | R@1000 |
|---|---|---|
| bm25 | 0.7195 | 0.9845 |
| dph | 0.5893 | 0.9711 |
quora/test
| name | nDCG@10 | R@1000 |
|---|---|---|
| bm25 | 0.7122 | 0.9875 |
| dph | 0.5809 | 0.9729 |
Reproduction
import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_pisa import PisaIndex
index = PisaIndex("quora.pisa", threads=16)
dataset = ir_datasets.load('beir/quora')
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"
}