add MS MARCO dataset
CONTRIBUTOR
The dummy data for v2.1 is missing as far as I can see. I think running the  dummy data command should work correctly here. 
2020-07-10T14:08:54Z
https://github.com/huggingface/datasets/pull/364#issuecomment-656696090
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CONTRIBUTOR
Also, it might be that the structure of the dummy data is wrong - looking at `generate_examples` the structure does not look too easy.
2020-07-10T14:10:07Z
https://github.com/huggingface/datasets/pull/364#issuecomment-656696640
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CONTRIBUTOR
The fact that the dummy data for v2.1 is missing shouldn't make the test fails I think. But as you mention the dummy data structure of v1.1 is wrong. I tried to rename files but it does not solve the issue.
2020-07-16T07:23:31Z
https://github.com/huggingface/datasets/pull/364#issuecomment-659212495
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Is MS mARCO added to nlp library?I am not able to view it?
2020-07-29T10:35:15Z
https://github.com/huggingface/datasets/pull/364#issuecomment-665585954
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> Is MS mARCO added to nlp library?I am not able to view it?

Hi @parthplc ,the PR is  not merged yet. The dummy data structure is still failing. Maybe @patrickvonplaten can help with it.
2020-07-29T11:57:35Z
https://github.com/huggingface/datasets/pull/364#issuecomment-665621182
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CONTRIBUTOR
Dataset is fixed and should be ready for use. @mariamabarham @lhoestq feel free to merge whenever!
2020-08-05T15:52:22Z
https://github.com/huggingface/datasets/pull/364#issuecomment-669273296
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> Dataset is fixed and should be ready for use. @mariamabarham @lhoestq feel free to merge whenever!

thanks
2020-08-06T06:15:39Z
https://github.com/huggingface/datasets/pull/364#issuecomment-669725444
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This PR adds the MS MARCO dataset as requested in this issue #336. MS mARCO has multiple task including:

- Passage and Document Retrieval

- Keyphrase Extraction

- QA and NLG

This PR only adds the 2 versions of the  QA and NLG task dataset which was realeased with the original paper here https://arxiv.org/pdf/1611.09268.pdf 

Tests are failing because of the dummy data. I tried to fix it without success. Can you please have a look at it? @patrickvonplaten , @lhoestq 