BEIR: Terrier Indexes
Collection
13 items
•
Updated
Terrier index for Fever
# Load the artifact
import pyterrier as pt
index = pt.Artifact.from_hf('pyterrier/fever.terrier')
index.bm25()
fever/dev
name | nDCG@10 | R@1000 |
---|---|---|
bm25 | 0.5179 | 0.9368 |
dph | 0.689 | 0.9513 |
fever/test
name | nDCG@10 | R@1000 |
---|---|---|
bm25 | 0.5045 | 0.934 |
dph | 0.6767 | 0.9505 |
import pyterrier as pt
from tqdm import tqdm
import ir_datasets
dataset = ir_datasets.load('beir/fever')
meta_docno_len = dataset.metadata()['docs']['fields']['doc_id']['max_len']
indexer = pt.IterDictIndexer("./fever.terrier", meta={'docno': meta_docno_len, 'text': 4096})
docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
indexer.index(docs)
{
"type": "sparse_index",
"format": "terrier",
"package_hint": "python-terrier"
}