nq.retromae.flex

Description

RetroMAE index for NQ

Usage

# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier/nq.retromae.flex')
artifact.np_retriever()

Benchmarks

nq

name	nDCG@10	R@1000
np (flat)	0.5257	0.9718

Reproduction

import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_dr import FlexIndex, RetroMAE
pipeline = RetroMAE.msmarco_distill() >> FlexIndex("nq.retromae.flex")
dataset = ir_datasets.load('beir/nq')
docs = ({'docno': d.doc_id, 'text': d.default_text()} for d in tqdm(dataset.docs))
pipeline.index(docs)

Metadata

{
  "type": "dense_index",
  "format": "flex",
  "vec_size": 768,
  "doc_count": 2681468
}