diff --git a/examples/retrieval/evaluation/lexical/evaluate_anserini_bm25.py b/examples/retrieval/evaluation/lexical/evaluate_anserini_bm25.py
index 34b7e93e..3eeb22e6 100644
--- a/examples/retrieval/evaluation/lexical/evaluate_anserini_bm25.py
+++ b/examples/retrieval/evaluation/lexical/evaluate_anserini_bm25.py
@@ -7,8 +7,7 @@
 After docker installation, please follow the steps below to get docker container up and running:
 
 1. docker pull beir/pyserini-fastapi 
-2. docker build -t pyserini-fastapi .
-3. docker run -p 8000:8000 -it --rm pyserini-fastapi
+2. docker run -p 8000:8000 -it -d --rm beir/pyserini-fastapi
 
 Once the docker container is up and running in local, now run the code below.
 This code doesn't require GPU to run.
@@ -34,7 +33,7 @@
 
 #### Download scifact.zip dataset and unzip the dataset
 dataset = "scifact"
-url = "https://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/{}.zip".format(dataset)
+url = "http://public.ukp.informatik.tu-darmstadt.de/thakur/BEIR/datasets/{}.zip".format(dataset)
 out_dir = os.path.join(pathlib.Path(__file__).parent.absolute(), "datasets")
 data_path = util.download_and_unzip(url, out_dir)
 corpus, queries, qrels = GenericDataLoader(data_path).load(split="test")
@@ -83,4 +82,4 @@
 scores = sorted(scores_dict.items(), key=lambda item: item[1], reverse=True)
 for rank in range(10):
     doc_id = scores[rank][0]
-    logging.info("Doc %d: %s [%s] - %s\n" % (rank+1, doc_id, corpus[doc_id].get("title"), corpus[doc_id].get("text")))
\ No newline at end of file
+    logging.info("Doc %d: %s [%s] - %s\n" % (rank+1, doc_id, corpus[doc_id].get("title"), corpus[doc_id].get("text")))