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Microsoft Machine Reading Comprehension (MS MARCO) is a collection of large scale datasets for deep learning related to Search. In MS MARCO, all questions are sampled from real anonymized user queries.
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What is MS Marco?
What is MS Marco (Microsoft machine reading comprehension)?
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What is the MS Marco document & passage ranking leaderboard?
What are MS Marco datasets?
- Introduction
- Citation
- Ranking Tasks
- Datasets
- Terms and Conditions
- Contributing
- Legal Notices
MS MARCO (MicroSoft MAchine Reading COmprehension) is a large-scale dataset focused on machine reading comprehension.Since its initial release, benchmarking efforts for several NLP and IR tasks have made use of this dataset—incl. question-answering, passage ranking, document ranking, keyphrase extraction, and conversational search.Currently, we are...
If you use the MS MARCO dataset, or any dataset derived from it, please cite the paper: @article{bajaj2016ms, title={Ms marco: A human generated machine reading comprehension dataset}, author={Bajaj, Payal and Campos, Daniel and Craswell, Nick and Deng, Li and Gao, Jianfeng and Liu, Xiaodong and Majumder, Rangan and McNamara, Andrew and Mitra, Bhas...
There are two tasks: Passage ranking and document ranking; and two subtasks in each case: full ranking and reranking. Each task uses a large human-generated set of training labels.The two tasks have different sets of test queries.Both tasks use similar form of training data with usually one positive training document/passage per training query.In t...
Document ranking dataset
The document ranking dataset is based on source documents, which contained passages in the passage task.Although we have an incomplete set of documents that was gathered some time later than the passage data, the corpus is 3.2 million documents and our training set has 367,013 queries.For each training query, we map from a positive passage ID to the corresponding document ID in our 3.2 million.We do so on the assumption that a document that produced a relevant passage is usually a relevant do...
Passage ranking dataset
This passage dataset is based on the public MS MARCO dataset, although our evaluation will be quite different.We will use a different set of test queries and we will use relevance judges to evaluate the quality of passage rankings in much more detail.
Use of external information
IMPORTANT NOTE: You are allowed to use external information while developing your runs.However, it is prohibited to use any datasets from msmarco.org in your submission except those listed above.The original MS MARCO question-answering dataset reveals minor details of how the dataset was constructed that would not be available in a real-world search engine; hence, should be avoided.
The MS MARCO and ORCAS datasets are intended for non-commercial research purposes only to promote advancement in the field of artificial intelligence and related areas, and is made available free of charge without extending any license or other intellectual property rights.The datasets are provided “as is” without warranty and usage of the data has...
This project welcomes contributions and suggestions. Most contributions require you to agree to aContributor License Agreement (CLA) declaring that you have the right to, and actually do, grant usthe rights to use your contribution. For details, visit https://cla.opensource.microsoft.com. When you submit a pull request, a CLA bot will automatically...
Microsoft and any contributors grant you a license to the Microsoft documentation and other contentin this repository under the Creative Commons Attribution 4.0 International Public License,see the LICENSE file, and grant you a license to any code in the repository under the MIT License, see theLICENSE-CODEfile. Microsoft licenses the MS MARCO Mark...
The MS MARCO (Microsoft MAchine Reading Comprehension) is a collection of datasets focused on deep learning in search. The first dataset was a question answering dataset featuring 100,000 real Bing questions and a human generated answer.
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MS MARCO 类似于机器学习和人工智能的其它领域的训练集，包括 ImageNet 数据集——它被认为是测试图像识别进展的第一数据集。 微软的一个研究团队曾使用 ImageNet 来测试自己的首个深度残差网络，在图像识别的准确率上有了巨大的提升。
mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset. We translate MS MARCO passage ranking dataset, a large-scale IR dataset comprising more than half million anonymized questions that were sampled from Bing's search query logs. mMARCO includes 14 languages (including the original English version).
