Skip to main content

Tool to guide you through reporting the use of COMET for machine translation evaluation.

Project description

SacreCOMET

The tool has two functionalities. First, it creates a signature with your setup and COMET model:

pip install sacrecomet

# Without anything will try to detect the local environment and will
# ask you questions about which COMET model you used.
# Example output: Python3.11.8|Comet2.2.2|fp32|unite-mup

sacrecomet 

# Arguments can also be specified non-interactively:

sacrecomet --model unite-mup --prec fp32

The other functionality is to find specific citations for COMET models that you're using:

sacrecomet cite Unbabel/xcomet-xl

https://arxiv.org/abs/2310.10482
@misc{guerreiro2023xcomet,
    title={xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection}, 
    ...

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sacrecomet-0.0.0a5.tar.gz (3.0 kB view hashes)

Uploaded Source

Built Distribution

sacrecomet-0.0.0a5-py3-none-any.whl (3.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page