Update README.md

README.md

@@ -10,19 +10,20 @@ task_categories:
 viewer: false
 ---
 
-# vaswani.splade.cache
+# SPLADE vector cache for Vaswani
 
 ## Description
 
-*TODO: What is the artifact?*
+A SPLADE vector cache for the Vaswani dataset.
 
 ## Usage
 
 ```python
-# Load the artifact
-import pyterrier_alpha as pta
-artifact = pta.Artifact.from_hf('macavaney/vaswani.splade.cache')
-# TODO: Show how you use the artifact
+>>> # Load the artifact
+>>> from pyterrier_caching import IndexerCache
+>>> cache = IndexerCache.from_hf('macavaney/vaswani.splade.cache')
+>>> len(cache)
+11429
 ```
 
 ## Benchmarks
@@ -32,7 +33,15 @@ artifact = pta.Artifact.from_hf('macavaney/vaswani.splade.cache')
 ## Reproduction
 
 ```python
-# TODO: Show how you constructed the artifact.
+import pyterrier as pt
+pt.init()
+from pyterrier_caching import IndexerCache
+from pyt_splade import Splade
+splade = Splade()
+cache = IndexerCache('vaswani.splade.cache')
+dataset = pt.get_dataset('irds:vaswani')
+pipeline = splade.doc_encoder() >> cache.indexer()
+pipeline.index(dataset.get_corpus_iter())
 ```
 
 ## Metadata