Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

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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](#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](#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](#supported-tasks)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Languages](#languages)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Dataset Structure](#dataset-structure)
+
+We show detailed information for up to 5 configurations of the dataset.
+
+### [Data Instances](#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](#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](#data-splits-sample-size)
+
+|name|train |validation| test |
+|----|-----:|---------:|-----:|
+|v1.1| 82326|     10047|  9650|
+|v2.1|808731|    101093|101092|
+
+## [Dataset Creation](#dataset-creation)
+
+### [Curation Rationale](#curation-rationale)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Source Data](#source-data)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Annotations](#annotations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Personal and Sensitive Information](#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](#considerations-for-using-the-data)
+
+### [Social Impact of Dataset](#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](#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](#other-known-limitations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Additional Information](#additional-information)
+
+### [Dataset Curators](#dataset-curators)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Licensing Information](#licensing-information)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Citation Information](#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.