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polish howto publish a dataset
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nikohansen committed May 8, 2021
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# How to Publish Your Data Within COCO

There are two simple ways to make data easily accessible to the community:
There are two ways to make data easily accessible to the community:

- propose inclusion of your data into `cocopp.archives`, or
- host a COCO archive with your data.
- propose inclusion of your data into [`cocopp.archives`](https://numbbo.github.io/data-archive), or
- host your own COCO archive with your data.

In both cases, first, the data need to be prepared. For this, for each
dataset (that is, each benchmarked algorithm variant):
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For this:

3. Upload the above data zipfile(s) to a file sharing site or to an accessible URL.
4. Ask for the inclusion into `cocopp.archives`. For this, open an [issue
at the Gitlab repository of COCO](https://github.com/numbbo/coco/issues)
4. Ask for the inclusion into [`cocopp.archives`](https://numbbo.github.io/data-archive).
For this, open an [issue at the Gitlab repository of COCO](https://github.com/numbbo/coco/issues)
(you need to have a Github account) with

- the publication reference and a link to the paper
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Hosting an archive means putting one or several data zipfiles with an added
"archive definition text file" online in a dedicated folder that can be
accessed under an URL, like
http://lq-cma.gforge.inria.fr/data-archives/lq-gecco2019. For example, any
folder under a personal homepage root will do.
accessed under an URL, like http://lq-cma.gforge.inria.fr/data-archives/lq-gecco2019.
For example, any folder under a personal homepage root will do.

For this:

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the other way around, additional subarchives can be
created in any archive subfolder. This is how
http://coco.gforge.inria.fr/data-archive is organize.
<details><summary>Code alternative from a system shell (click to expand)</summary>
<details><summary>Alternative code (from a system shell, click to expand)</summary>
<tt>python -c "import cocopp; cocopp.archiving.create('elisa_2020')"</tt>
</details>
</details>
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