Definition
MS MARCO (Microsoft Machine Reading Comprehension) is a widely used dataset in natural language processing, particularly for information retrieval and question answering. It consists of anonymized search queries from Bing and corresponding relevant passages from web documents. Researchers use it to train models to rank documents based on relevance to a query or to extract direct answers, serving as a foundational benchmark for modern dense retrieval and passage ranking models.
Summary
Microsoft Machine Reading Comprehension Dataset, a large-scale collection of real search queries and relevant document passages used for training information retrieval systems.
Key Concepts
- Information Retrieval
- Passage Ranking
- Search Queries
- Machine Reading Comprehension
Use Cases
- Training search engines
- Developing question-answering systems
- Benchmarking retrieval models