metadata
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.sparse_index
- pyterrier-artifact.sparse_index.pisa
task_categories:
- text-retrieval
viewer: false
fever.pisa
Description
A PISA index for the Fever dataset
Usage
# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('pyterrier/fever.pisa')
index.bm25() # return a BM25 retriever
Benchmarks
fever/dev
| name | nDCG@10 | R@1000 |
|---|---|---|
| bm25 | 0.6425 | 0.96 |
| dph | 0.6831 | 0.9604 |
fever/test
| name | nDCG@10 | R@1000 |
|---|---|---|
| bm25 | 0.6305 | 0.9532 |
| dph | 0.6716 | 0.9573 |
Reproduction
import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_pisa import PisaIndex
index = PisaIndex("fever.pisa", threads=16)
dataset = ir_datasets.load('beir/fever')
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"
}