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| # Dataset Card for "ms_marco" | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits Sample Size](#data-splits-sample-size) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [https://microsoft.github.io/msmarco/](https://microsoft.github.io/msmarco/) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 1481.03 MB | |
| - **Size of the generated dataset:** 4503.32 MB | |
| - **Total amount of disk used:** 5984.34 MB | |
| ### Dataset Summary | |
| Starting with a paper released at NIPS 2016, MS MARCO 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. | |
| Since then we released a 1,000,000 question dataset, a natural langauge generation dataset, a passage ranking dataset, | |
| keyphrase extraction dataset, crawling dataset, and a conversational search. | |
| There have been 277 submissions. 20 KeyPhrase Extraction submissions, 87 passage ranking submissions, 0 document ranking | |
| submissions, 73 QnA V2 submissions, 82 NLGEN submisions, and 15 QnA V1 submissions | |
| This data comes in three tasks/forms: Original QnA dataset(v1.1), Question Answering(v2.1), Natural Language Generation(v2.1). | |
| The original question answering datset featured 100,000 examples and was released in 2016. Leaderboard is now closed but data is availible below. | |
| The current competitive tasks are Question Answering and Natural Language Generation. Question Answering features over 1,000,000 queries and | |
| is much like the original QnA dataset but bigger and with higher quality. The Natural Language Generation dataset features 180,000 examples and | |
| builds upon the QnA dataset to deliver answers that could be spoken by a smart speaker. | |
| version v1.1 | |
| ### Supported Tasks | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| We show detailed information for up to 5 configurations of the dataset. | |
| ### Data Instances | |
| #### v1.1 | |
| - **Size of downloaded dataset files:** 160.88 MB | |
| - **Size of the generated dataset:** 414.48 MB | |
| - **Total amount of disk used:** 575.36 MB | |
| An example of 'train' looks as follows. | |
| ``` | |
| ``` | |
| #### v2.1 | |
| - **Size of downloaded dataset files:** 1320.14 MB | |
| - **Size of the generated dataset:** 4088.84 MB | |
| - **Total amount of disk used:** 5408.98 MB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### v1.1 | |
| - `answers`: a `list` of `string` features. | |
| - `passages`: a dictionary feature containing: | |
| - `is_selected`: a `int32` feature. | |
| - `passage_text`: a `string` feature. | |
| - `url`: a `string` feature. | |
| - `query`: a `string` feature. | |
| - `query_id`: a `int32` feature. | |
| - `query_type`: a `string` feature. | |
| - `wellFormedAnswers`: a `list` of `string` features. | |
| #### v2.1 | |
| - `answers`: a `list` of `string` features. | |
| - `passages`: a dictionary feature containing: | |
| - `is_selected`: a `int32` feature. | |
| - `passage_text`: a `string` feature. | |
| - `url`: a `string` feature. | |
| - `query`: a `string` feature. | |
| - `query_id`: a `int32` feature. | |
| - `query_type`: a `string` feature. | |
| - `wellFormedAnswers`: a `list` of `string` features. | |
| ### Data Splits Sample Size | |
| |name|train |validation| test | | |
| |----|-----:|---------:|-----:| | |
| |v1.1| 82326| 10047| 9650| | |
| |v2.1|808731| 101093|101092| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Source Data | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Discussion of Biases | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @article{DBLP:journals/corr/NguyenRSGTMD16, | |
| author = {Tri Nguyen and | |
| Mir Rosenberg and | |
| Xia Song and | |
| Jianfeng Gao and | |
| Saurabh Tiwary and | |
| Rangan Majumder and | |
| Li Deng}, | |
| title = {{MS} {MARCO:} {A} Human Generated MAchine Reading COmprehension Dataset}, | |
| journal = {CoRR}, | |
| volume = {abs/1611.09268}, | |
| year = {2016}, | |
| url = {http://arxiv.org/abs/1611.09268}, | |
| archivePrefix = {arXiv}, | |
| eprint = {1611.09268}, | |
| timestamp = {Mon, 13 Aug 2018 16:49:03 +0200}, | |
| biburl = {https://dblp.org/rec/journals/corr/NguyenRSGTMD16.bib}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset. |