comment

app.py

@@ -91,7 +91,8 @@ from pyterrier_dr import ElectraScorer
 
 doc2query = Doc2Query({repr(model)}, append=False, num_samples={num_samples})
 scorer = ElectraScorer({repr(score_model)})
-pipeline = doc2query >> QueryScorer(scorer) >> QueryFilter(t={query_filter.t})
+pipeline = doc2query >> QueryScorer(scorer) >> QueryFilter(append=False, t={query_filter.t})
+# use append=True when indexing; t={query_filter.t} is the {filter_pct}th percentile for generated queries on MS MARCO
 
 pipeline({df2code(input)})
 '''