Structure of the repository

Our repository is structured as follows:

app_forecasts_de

Codes and re-formatted data underlying the (interactive visualization)[https://jobrac.shinyapps.io/app_forecasts_de/].

code

• auto_download: Python codes to automate pulling some truth and forecast data to our repository (in progress)
• validation: Python codes for automatic validation of data format. We also provide R codes for the same purpose, but remark that these may not always be in perfect sync with the authoritative Python checks.

data-processed

Forecast files in a standard format, either processed from csv files in data_raw or directly submitted by teams via pull requests. Subdirectories within the data-processed/ directory need to have the format

team-model

where

• team is the teamname and
• model is the name of your model.

Both team and model should be less than 15 characters and not include hyphens.

Within each subdirectory, there should be a metadata file, a license file (optional), and a set of forecasts.