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Filip Gralinski 2015-08-25 22:14:36 +02:00 committed by Filip Gralinski
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@ -71,3 +71,75 @@ A metric (other than the default root-mean-square error) can be given
to generate another type of a toy challenge:
geval --init --expected-directory my-mt-challenge --metric BLEU
### Preparing a Git repository
Gonito platform expects a Git repository with a challenge to be
submitted. The suggested way to do this is as follows:
1. Prepare a branch with all the files _without_
`test-A/expected.tsv`. This branch will be cloned by people taking
up the challenge.
2. Prepare a separate branch (or even a repo) with
`test-A/expected.tsv` added. This branch should be accessible by
Gonito platform, but should be kept "hidden" for regular users (or
at least they should be kindly asked not to peek there). It is
recommended (though not obligatory) that this branch contain all the
source codes and data used to generate the train/dev/test sets.
Branch (1) should be the parent of the branch (2), for instance, the
repos (for the toy "planets" challenge) could be created as follows:
geval --init --expected-directory planets
cd planets
git init
git add .gitignore config.txt README.md train/train.tsv dev-0/{in,expected}.tsv test-A/in.tsv
git commit -m 'init challenge'
git remote add origin git@github.com:filipg/planets
git push origin master
git add test-A/expected.tsv
git commit -m 'with expected results'
git push origin dont-peek-here
## Taking up a Gonito challenge
Clone the repo with a challenge, as given on the Gonito web-site, e.g.
for the toy "planets" challenge (as generated with `geval --init`):
git clone https://github.com/filipg/planets
Now use the train data and whatever machine learning tools you like to
guess the values for the dev set and the test set, put them,
respectively, as:
* `dev-0/out.tsv`
* `test-A/out.tsv`
(These files must have exactly the same number of lines as,
respectively, `dev-0/in.tsv` and `test-0/in.tsv`.)
Check the result for the dev set with `geval`:
geval --test-name dev-0
(the current directory is assumed for `--out-directory` and `--expected-directory`).
If you'd like and if you have access to the test set results, you can
"cheat" and check the results for the test set:
cd ..
git clone https://github.com/filipg/planets planets-secret --branch secret
cd planets
geval --expected-directory ../planets-secret
### Uploading your results to Gonito platform
Uploading is via Git — commit your "out" files and push the commit to
your own repo.
git remote add mine git@github.com:johnsmith/planets-johnsmith
git add {dev-0,test-A}/out.tsv
git commit -m 'my solution to the challenge'
git push mine master
Then let Gonito pull them and evaluate your results.