metadata
tags:
- pyterrier
- pyterrier-artifact
- pyterrier-artifact.dense_index
- pyterrier-artifact.dense_index.flex
task_categories:
- text-retrieval
viewer: false
scifact.retromae.flex
Description
RetroMAE index for SciFact
Usage
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('pyterrier/scifact.retromae.flex')
artifact.np_retriever()
Benchmarks
scifact/test
| name | nDCG@10 | R@1000 |
|---|---|---|
| np (flat) | 0.6474 | 0.98 |
Reproduction
import pyterrier as pt
from tqdm import tqdm
import ir_datasets
from pyterrier_dr import FlexIndex, RetroMAE
pipeline = RetroMAE.msmarco_distill() >> FlexIndex("scifact.retromae.flex")
dataset = ir_datasets.load('beir/scifact')
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": 5183
}