Set repo_type="dataset" to specify that we're downloading the indices from a dataset repo

app.py

@@ -14,8 +14,8 @@ title_text_int8_dataset = load_dataset("sentence-transformers/quantized-retrieva
 # title_text_int8_dataset = load_from_disk("wikipedia-mxbai-embed-int8-index").select_columns(["url", "title", "text", "embedding"])
 
 # Load the binary indices
-binary_index_path = hf_hub_download(repo_id="sentence-transformers/quantized-retrieval-data", filename="wikipedia_ubinary_faiss_50m.index", local_dir=".")
-binary_ivf_index_path = hf_hub_download(repo_id="sentence-transformers/quantized-retrieval-data", filename="wikipedia_ubinary_ivf_faiss_50m.index", local_dir=".")
+binary_index_path = hf_hub_download(repo_id="sentence-transformers/quantized-retrieval-data", filename="wikipedia_ubinary_faiss_50m.index", local_dir=".", repo_type="dataset")
+binary_ivf_index_path = hf_hub_download(repo_id="sentence-transformers/quantized-retrieval-data", filename="wikipedia_ubinary_ivf_faiss_50m.index", local_dir=".", repo_type="dataset")
 
 binary_index: faiss.IndexBinaryFlat = faiss.read_index_binary(binary_index_path)
 binary_ivf_index: faiss.IndexBinaryIVF = faiss.read_index_binary(binary_ivf_index_path)