Update README.md

README.md

@@ -14,25 +14,46 @@ viewer: false
 
 ## Description
 
-*TODO: What is the artifact?*
+Terrier index for Quora
 
 ## Usage
 
 ```python
 # Load the artifact
 import pyterrier as pt
-artifact = pt.Artifact.from_hf('pyterrier/quora.terrier')
-# TODO: Show how you use the artifact
+index = pt.Artifact.from_hf('pyterrier/quora.terrier')
+index.bm25()
 ```
 
 ## Benchmarks
 
-*TODO: Provide benchmarks for the artifact.*
+`quora/dev`
+
+| name   |   nDCG@10 |   R@1000 |
+|:-------|----------:|---------:|
+| bm25   |    0.7712 |   0.9908 |
+| dph    |    0.4529 |   0.9005 |
+
+`quora/test`
+
+| name   |   nDCG@10 |   R@1000 |
+|:-------|----------:|---------:|
+| bm25   |    0.7676 |   0.9926 |
+| dph    |    0.4429 |   0.9026 |
 
 ## Reproduction
 
 ```python
-# TODO: Show how you constructed the artifact.
+import pyterrier as pt
+from tqdm import tqdm
+import pandas as pd
+import ir_datasets
+from pyterrier_pisa import PisaIndex
+dataset = ir_datasets.load('beir/quora')
+meta_docno_len = dataset.metadata()['docs']['fields']['doc_id']['max_len']
+indexer = pt.IterDictIndexer("./quora.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)
 ```
 
 ## Metadata