Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics. Jury offers a smooth and easy-to-use interface. It uses huggingface/datasets package for underlying metric computation, and hence adding custom metric is easy as adopting datasets.Metric.

Through pip,

pip install jury

or build from source,

git clone https://github.com/obss/jury.git
cd jury
python setup.py install

It is only two lines of code to evaluate generated outputs.

from jury import Jury

jury = Jury()
scores = jury.evaluate(predictions, references)

Specify metrics you want to use on instantiation.

jury = Jury(metrics=["bleu", "meteor"])
scores = jury.evaluate(predictions, references)

Coming soon...

Licensed under the MIT License.