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--- |
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language: |
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- en |
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paperswithcode_id: ms-marco |
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pretty_name: Microsoft Machine Reading Comprehension Dataset |
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dataset_info: |
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- config_name: v1.1 |
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features: |
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- name: answers |
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sequence: string |
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- name: passages |
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sequence: |
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- name: is_selected |
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dtype: int32 |
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- name: passage_text |
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dtype: string |
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- name: url |
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dtype: string |
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- name: query |
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dtype: string |
|
- name: query_id |
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dtype: int32 |
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- name: query_type |
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dtype: string |
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- name: wellFormedAnswers |
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sequence: string |
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splits: |
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- name: validation |
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num_bytes: 42665198 |
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num_examples: 10047 |
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- name: train |
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num_bytes: 350516260 |
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num_examples: 82326 |
|
- name: test |
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num_bytes: 40977580 |
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num_examples: 9650 |
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download_size: 217328153 |
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dataset_size: 434159038 |
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- config_name: v2.1 |
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features: |
|
- name: answers |
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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 |
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sequence: string |
|
splits: |
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- name: validation |
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num_bytes: 413765365 |
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num_examples: 101093 |
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- name: train |
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num_bytes: 3462807709 |
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num_examples: 808731 |
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- name: test |
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num_bytes: 405691932 |
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num_examples: 101092 |
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download_size: 2105722550 |
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dataset_size: 4282265006 |
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configs: |
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- config_name: v1.1 |
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data_files: |
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- split: validation |
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path: v1.1/validation-* |
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- split: train |
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path: v1.1/train-* |
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- split: test |
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path: v1.1/test-* |
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- config_name: v2.1 |
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data_files: |
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- split: validation |
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path: v2.1/validation-* |
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- split: train |
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path: v2.1/train-* |
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- split: test |
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path: v2.1/test-* |
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--- |
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# Dataset Card for "ms_marco" |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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|
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## Dataset Description |
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- **Homepage:** [https://microsoft.github.io/msmarco/](https://microsoft.github.io/msmarco/) |
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Size of downloaded dataset files:** 1.55 GB |
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- **Size of the generated dataset:** 4.72 GB |
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- **Total amount of disk used:** 6.28 GB |
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### Dataset Summary |
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Starting with a paper released at NIPS 2016, MS MARCO is a collection of datasets focused on deep learning in search. |
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The first dataset was a question answering dataset featuring 100,000 real Bing questions and a human generated answer. |
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Since then we released a 1,000,000 question dataset, a natural langauge generation dataset, a passage ranking dataset, |
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keyphrase extraction dataset, crawling dataset, and a conversational search. |
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There have been 277 submissions. 20 KeyPhrase Extraction submissions, 87 passage ranking submissions, 0 document ranking |
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submissions, 73 QnA V2 submissions, 82 NLGEN submisions, and 15 QnA V1 submissions |
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This data comes in three tasks/forms: Original QnA dataset(v1.1), Question Answering(v2.1), Natural Language Generation(v2.1). |
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The original question answering datset featured 100,000 examples and was released in 2016. Leaderboard is now closed but data is availible below. |
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The current competitive tasks are Question Answering and Natural Language Generation. Question Answering features over 1,000,000 queries and |
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is much like the original QnA dataset but bigger and with higher quality. The Natural Language Generation dataset features 180,000 examples and |
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builds upon the QnA dataset to deliver answers that could be spoken by a smart speaker. |
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version v1.1 |
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### Supported Tasks and Leaderboards |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Dataset Structure |
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### Data Instances |
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#### v1.1 |
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- **Size of downloaded dataset files:** 168.69 MB |
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- **Size of the generated dataset:** 434.61 MB |
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- **Total amount of disk used:** 603.31 MB |
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An example of 'train' looks as follows. |
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``` |
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``` |
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#### v2.1 |
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- **Size of downloaded dataset files:** 1.38 GB |
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- **Size of the generated dataset:** 4.29 GB |
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- **Total amount of disk used:** 5.67 GB |
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An example of 'validation' looks as follows. |
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``` |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### v1.1 |
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- `answers`: a `list` of `string` features. |
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- `passages`: a dictionary feature containing: |
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- `is_selected`: a `int32` feature. |
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- `passage_text`: a `string` feature. |
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- `url`: a `string` feature. |
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- `query`: a `string` feature. |
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- `query_id`: a `int32` feature. |
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- `query_type`: a `string` feature. |
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- `wellFormedAnswers`: a `list` of `string` features. |
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#### v2.1 |
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- `answers`: a `list` of `string` features. |
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- `passages`: a dictionary feature containing: |
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- `is_selected`: a `int32` feature. |
|
- `passage_text`: a `string` feature. |
|
- `url`: a `string` feature. |
|
- `query`: a `string` feature. |
|
- `query_id`: a `int32` feature. |
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- `query_type`: a `string` feature. |
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- `wellFormedAnswers`: a `list` of `string` features. |
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|
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### Data Splits |
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|
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|name|train |validation| test | |
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|----|-----:|---------:|-----:| |
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|v1.1| 82326| 10047| 9650| |
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|v2.1|808731| 101093|101092| |
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## Dataset Creation |
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|
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### Curation Rationale |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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|
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Citation Information |
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``` |
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@article{DBLP:journals/corr/NguyenRSGTMD16, |
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author = {Tri Nguyen and |
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Mir Rosenberg and |
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Xia Song and |
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Jianfeng Gao and |
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Saurabh Tiwary and |
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Rangan Majumder and |
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Li Deng}, |
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title = {{MS} {MARCO:} {A} Human Generated MAchine Reading COmprehension Dataset}, |
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journal = {CoRR}, |
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volume = {abs/1611.09268}, |
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year = {2016}, |
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url = {http://arxiv.org/abs/1611.09268}, |
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archivePrefix = {arXiv}, |
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eprint = {1611.09268}, |
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timestamp = {Mon, 13 Aug 2018 16:49:03 +0200}, |
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biburl = {https://dblp.org/rec/journals/corr/NguyenRSGTMD16.bib}, |
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bibsource = {dblp computer science bibliography, https://dblp.org} |
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} |
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} |
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``` |
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### Contributions |
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Thanks to [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun) for adding this dataset. |
