albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#2)
320355e
| 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: 42710107 | |
| num_examples: 10047 | |
| - name: train | |
| num_bytes: 350884446 | |
| num_examples: 82326 | |
| - name: test | |
| num_bytes: 41020711 | |
| num_examples: 9650 | |
| download_size: 168698008 | |
| dataset_size: 434615264 | |
| - 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: 414286005 | |
| num_examples: 101093 | |
| - name: train | |
| num_bytes: 3466972085 | |
| num_examples: 808731 | |
| - name: test | |
| num_bytes: 406197152 | |
| num_examples: 101092 | |
| download_size: 1384271865 | |
| dataset_size: 4287455242 | |
| # 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. |