Duplicate from microsoft/ms_marco

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README.md

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+---
+language:
+- en
+paperswithcode_id: ms-marco
+pretty_name: Microsoft Machine Reading Comprehension Dataset
+dataset_info:
+- config_name: v1.1
+  features:
+  - name: answers
+    sequence: string
+  - name: passages
+    sequence:
+    - name: is_selected
+      dtype: int32
+    - name: passage_text
+      dtype: string
+    - name: url
+      dtype: string
+  - name: query
+    dtype: string
+  - name: query_id
+    dtype: int32
+  - name: query_type
+    dtype: string
+  - name: wellFormedAnswers
+    sequence: string
+  splits:
+  - name: validation
+    num_bytes: 42665198
+    num_examples: 10047
+  - name: train
+    num_bytes: 350516260
+    num_examples: 82326
+  - name: test
+    num_bytes: 40977580
+    num_examples: 9650
+  download_size: 217328153
+  dataset_size: 434159038
+- config_name: v2.1
+  features:
+  - name: answers
+    sequence: string
+  - name: passages
+    sequence:
+    - name: is_selected
+      dtype: int32
+    - name: passage_text
+      dtype: string
+    - name: url
+      dtype: string
+  - name: query
+    dtype: string
+  - name: query_id
+    dtype: int32
+  - name: query_type
+    dtype: string
+  - name: wellFormedAnswers
+    sequence: string
+  splits:
+  - name: validation
+    num_bytes: 413765365
+    num_examples: 101093
+  - name: train
+    num_bytes: 3462807709
+    num_examples: 808731
+  - name: test
+    num_bytes: 405691932
+    num_examples: 101092
+  download_size: 2105722550
+  dataset_size: 4282265006
+configs:
+- config_name: v1.1
+  data_files:
+  - split: validation
+    path: v1.1/validation-*
+  - split: train
+    path: v1.1/train-*
+  - split: test
+    path: v1.1/test-*
+- config_name: v2.1
+  data_files:
+  - split: validation
+    path: v2.1/validation-*
+  - split: train
+    path: v2.1/train-*
+  - split: test
+    path: v2.1/test-*
+---
+
+# Dataset Card for "ms_marco"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [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:** 1.55 GB
+- **Size of the generated dataset:** 4.72 GB
+- **Total amount of disk used:** 6.28 GB
+
+### 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 and Leaderboards
+
+[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
+
+### Data Instances
+
+#### v1.1
+
+- **Size of downloaded dataset files:** 168.69 MB
+- **Size of the generated dataset:** 434.61 MB
+- **Total amount of disk used:** 603.31 MB
+
+An example of 'train' looks as follows.
+```
+
+```
+
+#### v2.1
+
+- **Size of downloaded dataset files:** 1.38 GB
+- **Size of the generated dataset:** 4.29 GB
+- **Total amount of disk used:** 5.67 GB
+
+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
+
+|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
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the source language producers?
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+#### Who are the annotators?
+
+[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.

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