Mention BeIR dbpedia dataset as the source

README.md

@@ -27,4 +27,10 @@ size_categories:
 
 Text used for Embedding: title (string) + text (string)
 
-First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/
+First used for the pgvector vs VectorDB (Qdrant) benchmark: https://nirantk.com/writing/pgvector-vs-qdrant/
+
+### Future work
+We are planning to take this up to 10M (and possibly 100M) vectors. Contact [@KShivendu_](https://twitter.com/KShivendu_) if you want to help :)
+
+### Credits:
+This dataset was generated from the first 1M entries of https://huggingface.co/datasets/BeIR/dbpedia-entity