COMET-poly-base-wmt25

This model is based on COMET-poly, which is a fork but not compatible with original Unbabel's COMET. To run the model, you need to first install this version of COMET either with:

pip install "git+https://github.com/zouharvi/COMET-poly#egg=comet-poly&subdirectory=comet_poly"

or in editable mode:

git clone https://github.com/zouharvi/COMET-poly.git
cd COMET-poly
pip3 install -e comet_poly

This model scores the translation mt given its source. It is a baseline model that other COMET-poly models are compared to.

import comet_poly
model = comet_poly.load_from_checkpoint(comet_poly.download_model("zouharvi/COMET-poly-base-wmt25"))
data = [
    {
        "src": "Iceberg lettuce got its name in the 1920s when it was shipped packed in ice to stay fresh.",
        "mt": "Eisbergsalat erhielt seinen Namen in den 1920er-Jahren, als er in Eis verpackt verschickt wurde, um frisch zu bleiben.",
    },
    {
        "src": "Goats have rectangular pupils, which give them a wide field of vision—up to 320 degrees!",
        "mt": "Kozy mají obdélníkové zornice, což jim umožňuje vidět skoro všude kolem sebe, aniž by musely otáčet hlavou.",
    },
    {
        "src": "This helps them spot predators from almost all directions without moving their heads.",
        "mt": "Điều này giúp chúng phát hiện kẻ săn mồi từ gần như mọi hướng mà không cần quay đầu.",
    }
]
print("scores", model.predict(data, batch_size=8, gpus=1).scores)

Outputs:

scores [94.98790740966797, 77.56731414794922, 90.77655029296875]

The training data is WMT up to 2024 (inclusive) with DA/ESA/MQM merged on a single scale. This model is based on the work TODO which can be cited as:

@misc{zuefle2025comet,
    title={COMET-poly: Machine Translation Metric Grounded in Other Candidates},
    author={Maike Züfle, Vilém Zouhar, Tu Anh Dinh, Felipe Polo, Jan Niehues, Mrinmaya Sachan},
    year={2025},
}