Create the job, using spam.txt, add the "python-example" tag, and mark the test data.
python spam.py create
Launch it:
python spam.py launch
Check the status of the job (it's done when needed_judgments is 0):
python spam.py ping
Cross-tabulate the results:
python spam.py results | cut -d$'\t' -f 1-2 | sort | uniq -c
Download the full dataset:
python spam.py download > spam.json
I have removed the _worker_id fields from the spam.json file included in this repository, but otherwise that file was built using the above process.
And after getting all the responses and downloading the results, delete it:
python spam.py delete