A large scale dataset focused on machine reading comprehension, question answering, and passage ranking.

The MS MARCO document and passage ranking leaderboards complements the TREC Deep Learning Track by providing on-going evaluation of submissions using pre- ...

A passage ranking benchmark with a collection of 8.8 million passages and question queries. Most relevance judgments are shallow.

MS MARCO Passage Ranking is a large dataset to train models for information retrieval. It consists of about 500k real search queries from Bing search engine.

MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking ...

This page contains instructions for running BM25 baselines on the MS MARCO passage ranking task. Note that there is a separate MS MARCO document ranking task.

The MS MARCO (Microsoft MAchine Reading Comprehension) is a collection of datasets focused on deep learning in search.

Given a query q and a the 1000 most relevant passages P = p1, p2, p3,… p1000, as retrieved by BM25 a successful system is expected to rerank the most relevant ...

The current state-of-the-art on MS MARCO is Fine-tuned SOTA. See a full comparison of 4 papers with code.

Since then we released a 1,000,000 question dataset, a natural langauge generation dataset, a passage ranking dataset, keyphrase extraction dataset, crawling ...