{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ms-marco-a-human-generated-machine-reading","title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset","arxiv_id":"1611.09268","date":"2016-11-28","proceeding":null,"authors":["Payal Bajaj","Daniel Campos","Nick Craswell","Li Deng","Jianfeng Gao","Xiaodong Liu","Rangan Majumder","Andrew McNamara","Bhaskar Mitra","Tri Nguyen","Mir Rosenberg","Xia Song","Alina Stoica","Saurabh Tiwary","Tong Wang"],"abstract":"We introduce a large scale MAchine Reading COmprehension dataset, which we\nname MS MARCO. The dataset comprises of 1,010,916 anonymized\nquestions---sampled from Bing's search query logs---each with a human generated\nanswer and 182,669 completely human rewritten generated answers. In addition,\nthe dataset contains 8,841,823 passages---extracted from 3,563,535 web\ndocuments retrieved by Bing---that provide the information necessary for\ncurating the natural language answers. A question in the MS MARCO dataset may\nhave multiple answers or no answers at all. Using this dataset, we propose\nthree different tasks with varying levels of difficulty: (i) predict if a\nquestion is answerable given a set of context passages, and extract and\nsynthesize the answer as a human would (ii) generate a well-formed answer (if\npossible) based on the context passages that can be understood with the\nquestion and passage context, and finally (iii) rank a set of retrieved\npassages given a question. The size of the dataset and the fact that the\nquestions are derived from real user search queries distinguishes MS MARCO from\nother well-known publicly available datasets for machine reading comprehension\nand question-answering. We believe that the scale and the real-world nature of\nthis dataset makes it attractive for benchmarking machine reading comprehension\nand question-answering models.","url_abs":"http://arxiv.org/abs/1611.09268v3","url_pdf":"http://arxiv.org/pdf/1611.09268v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/AmenRa/rank_eval","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/amenra/ranx","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/axiomlab/Cable","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/dfcf93/MSMARCO","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/MSMARCO-Conversational-Search","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/MSMARCO-Document-Ranking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"CC-BY-4.0"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/MSMARCO-OpenKP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/MSMARCO-Passage-Ranking","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/MSMARCO-Question-Answering","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/OpenKP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/microsoft/TREC-2019-Deep-Learning","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"CC-BY-4.0"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/princeton-nlp/helmet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/yongbowin/MSMARCO-Question-Answering_annotation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"ms-marco-a-human-generated-machine-reading","repo_url":"https://github.com/yongbowin/OpenKP_annotation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"machine-reading-comprehension","task_name":"Machine Reading Comprehension"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"reading-comprehension","task_name":"Reading Comprehension"}],"methods":[],"datasets_introduced":[{"slug":"ms-marco","name":"MS MARCO","full_name":"Microsoft Machine Reading Comprehension Dataset"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1611.09268","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1611.09268"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. 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