| --- |
| 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. |
