Update README.md

README.md

@@ -140,10 +140,11 @@ You can also access the data processed for reranking tasks. To do that:
 from datasets import load_dataset
 
 path = 'McGill-NLP/WebLINX'
+
 # validation split:
-valid = load_dataset(path, name='reranking', split='validation')
+valid = load_dataset(path=path, name='reranking', split='validation')
 # test-iid split
-test_iid = load_dataset(name, 'reranking', split='test_iid')
+test_iid = load_dataset(path, 'reranking', split='test_iid')
 # other options: test_cat, test_geo, test_vis, test_web
 
 print("Query:")