This dataset provides a production-ready BM25 search index over 5.2 million Wikipedia article abstracts from the 2017 snapshot. Built using the bm25s library with English stemming and optimized Parquet compression, it enables fast, offline information retrieval for research and production AI systems. The corpus is identical to the one used in influential AI research papers including DSPy and GEPA, ensuring reproducible benchmarking and fair… See the full description on the dataset page:
https://huggingface.co/datasets/Comet/wikipedia-2017-bm25.
