Add The Medical Segmentation Decathlon Dataset
NONE
Hello! I have recently been involved with a medical image segmentation project myself and was going through the `The Medical Segmentation Decathlon Dataset` as well. 
I haven't yet had experience adding datasets to this repository yet but would love to get started. Should I take this issue?
If yes, I've got two questions -
1. There are 10 different datasets available, so are all datasets to be added in a single PR, or one at a time? 
2. Since it's a competition, masks for the test-set are not available. How is that to be tackled? Sorry if it's a silly question, I have recently started exploring `datasets`.
2022-02-09T19:39:16Z
https://github.com/huggingface/datasets/issues/3583#issuecomment-1034125381
https://api.github.com/repos/huggingface/datasets/issues/3583
IC_kwDODunzps49o4BF
https://api.github.com/repos/huggingface/datasets/issues/comments/1034125381/reactions
2022-02-09T19:39:16Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1034125381
https://avatars.githubusercontent.com/u/64613009?v=4
https://api.github.com/users/pri1311/events{/privacy}
https://api.github.com/users/pri1311/followers
https://api.github.com/users/pri1311/following{/other_user}
https://api.github.com/users/pri1311/gists{/gist_id}
https://github.com/pri1311
pri1311
MDQ6VXNlcjY0NjEzMDA5
https://api.github.com/users/pri1311/orgs
https://api.github.com/users/pri1311/received_events
https://api.github.com/users/pri1311/repos
https://api.github.com/users/pri1311/starred{/owner}{/repo}
https://api.github.com/users/pri1311/subscriptions
User
https://api.github.com/users/pri1311
public
COLLABORATOR
Hi! Sure, feel free to take this issue. You can self-assign the issue by commenting `#self-assign`.

To answer your questions:
1. It makes the most sense to add each one as a separate config, so one dataset script with 10 configs in a single PR.
2. Just set masks in the test set to `None`.

Note that the images/masks in this dataset are in NIfTI format, which our `Image` feature currently doesn't support, so I think it's best to yield the paths to the images/masks in the script and add a preprocessing section to the card where we explain how to load/process the images/masks with `nibabel` (I can help with that).   


2022-02-13T17:33:10Z
https://github.com/huggingface/datasets/issues/3583#issuecomment-1038284498
https://api.github.com/repos/huggingface/datasets/issues/3583
IC_kwDODunzps494vbS
https://api.github.com/repos/huggingface/datasets/issues/comments/1038284498/reactions
2022-02-13T17:33:10Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1038284498
https://avatars.githubusercontent.com/u/47462742?v=4
https://api.github.com/users/mariosasko/events{/privacy}
https://api.github.com/users/mariosasko/followers
https://api.github.com/users/mariosasko/following{/other_user}
https://api.github.com/users/mariosasko/gists{/gist_id}
https://github.com/mariosasko
mariosasko
MDQ6VXNlcjQ3NDYyNzQy
https://api.github.com/users/mariosasko/orgs
https://api.github.com/users/mariosasko/received_events
https://api.github.com/users/mariosasko/repos
https://api.github.com/users/mariosasko/starred{/owner}{/repo}
https://api.github.com/users/mariosasko/subscriptions
User
https://api.github.com/users/mariosasko
public
NONE
> Note that the images/masks in this dataset are in NIfTI format, which our `Image` feature currently doesn't support, so I think it's best to yield the paths to the images/masks in the script and add a preprocessing section to the card where we explain how to load/process the images/masks with `nibabel` (I can help with that).

Gotcha, thanks. Will start working on the issue and let you know in case of any doubt.
2022-02-14T10:43:50Z
https://github.com/huggingface/datasets/issues/3583#issuecomment-1038930841
https://api.github.com/repos/huggingface/datasets/issues/3583
IC_kwDODunzps497NOZ
https://api.github.com/repos/huggingface/datasets/issues/comments/1038930841/reactions
2022-02-14T10:43:50Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1038930841
https://avatars.githubusercontent.com/u/64613009?v=4
https://api.github.com/users/pri1311/events{/privacy}
https://api.github.com/users/pri1311/followers
https://api.github.com/users/pri1311/following{/other_user}
https://api.github.com/users/pri1311/gists{/gist_id}
https://github.com/pri1311
pri1311
MDQ6VXNlcjY0NjEzMDA5
https://api.github.com/users/pri1311/orgs
https://api.github.com/users/pri1311/received_events
https://api.github.com/users/pri1311/repos
https://api.github.com/users/pri1311/starred{/owner}{/repo}
https://api.github.com/users/pri1311/subscriptions
User
https://api.github.com/users/pri1311
public
NONE
#self-assign
2022-02-14T10:44:03Z
https://github.com/huggingface/datasets/issues/3583#issuecomment-1038931065
https://api.github.com/repos/huggingface/datasets/issues/3583
IC_kwDODunzps497NR5
https://api.github.com/repos/huggingface/datasets/issues/comments/1038931065/reactions
2022-02-14T10:44:03Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1038931065
https://avatars.githubusercontent.com/u/64613009?v=4
https://api.github.com/users/pri1311/events{/privacy}
https://api.github.com/users/pri1311/followers
https://api.github.com/users/pri1311/following{/other_user}
https://api.github.com/users/pri1311/gists{/gist_id}
https://github.com/pri1311
pri1311
MDQ6VXNlcjY0NjEzMDA5
https://api.github.com/users/pri1311/orgs
https://api.github.com/users/pri1311/received_events
https://api.github.com/users/pri1311/repos
https://api.github.com/users/pri1311/starred{/owner}{/repo}
https://api.github.com/users/pri1311/subscriptions
User
https://api.github.com/users/pri1311
public
CONTRIBUTOR
This is great! There is a first model on the HUb that uses this dataset! https://huggingface.co/MONAI/example_spleen_segmentation
2022-03-18T10:44:42Z
https://github.com/huggingface/datasets/issues/3583#issuecomment-1072289261
https://api.github.com/repos/huggingface/datasets/issues/3583
IC_kwDODunzps4_6dXt
https://api.github.com/repos/huggingface/datasets/issues/comments/1072289261/reactions
2022-03-18T10:44:42Z
https://api.github.com/repos/huggingface/datasets/issues/comments/1072289261
https://avatars.githubusercontent.com/u/7246357?v=4
https://api.github.com/users/osanseviero/events{/privacy}
https://api.github.com/users/osanseviero/followers
https://api.github.com/users/osanseviero/following{/other_user}
https://api.github.com/users/osanseviero/gists{/gist_id}
https://github.com/osanseviero
osanseviero
MDQ6VXNlcjcyNDYzNTc=
https://api.github.com/users/osanseviero/orgs
https://api.github.com/users/osanseviero/received_events
https://api.github.com/users/osanseviero/repos
https://api.github.com/users/osanseviero/starred{/owner}{/repo}
https://api.github.com/users/osanseviero/subscriptions
User
https://api.github.com/users/osanseviero
public
## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, multi-site data, and small objects. 
- **Paper:** [link to the dataset paper if available](https://arxiv.org/abs/2106.05735)
- **Data:** http://medicaldecathlon.com/
- **Motivation:** Hugging Face seeks to democratize ML for society. One of the growing niches within ML is the ML + Medicine community. Key data sets will help increase the supply of HF resources for starting an initial community.

(cc @osanseviero @abidlabs )

Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
