Passage Retrieval:RETIRED(10/26/2018-01/01/2023). Based on the passages and questions in the Question Answering Dataset, a passage ranking task was formulated.

MS MARCO (MicroSoft MAchine Reading COmprehension) is a large-scale dataset focused on machine reading comprehension. Since its initial release, benchmarking ...

This guide contains instructions for running a BM25 baseline on the MS MARCO passage ranking task, which is nearly identical to a similar guide in Anserini.

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

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.

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

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

The current state-of-the-art on MSMARCO (BEIR) is BM25+CE. See a full comparison of 12 papers with code.

29 июл. 2023 г. · The msmarco-passage dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

MS MARCO is a large scale information retrieval corpus that was created based on real user search queries using Bing search engine.