Skip to main content

Scandinavian Embedding Benchmark

Project description

Scandinavian Embedding Benchmark

PyPI Python Version documentation Tests Ruff DOI

A benchmark for evaluating sentence/document embeddings of Scandinavian language models.

Installation

You can install the Scandinavian Embedding Benchmark (seb) via pip from PyPI:

pip install seb

To see more examples, see the documentation.

📖 Documentation

Documentation
🔧 Installation Installation instructions on how to install this package
👩‍💻 Usage Introduction on how to use the package
📖 Documentation A minimal and developing documentation

💬 Where to ask questions

Type
🚨 Bug Reports GitHub Issue Tracker
🎁 Feature Requests & Ideas GitHub Issue Tracker
👩‍💻 Usage Questions GitHub Discussions
🗯 General Discussion GitHub Discussions

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

seb-0.5.3.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

seb-0.5.3-py3-none-any.whl (256.5 kB view details)

Uploaded Python 3

File details

Details for the file seb-0.5.3.tar.gz.

File metadata

  • Download URL: seb-0.5.3.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for seb-0.5.3.tar.gz
Algorithm Hash digest
SHA256 d4ea228d84312aee10156ef3178bdfa18e57917b47d77f5ce82482bc7abb7b10
MD5 4d28ce90aa67fadffe8694efed81aa75
BLAKE2b-256 5b49556ef165dcc1107a6951cea82cabfe2fe4ba032fc4b29f3bb846c3e3ceec

See more details on using hashes here.

File details

Details for the file seb-0.5.3-py3-none-any.whl.

File metadata

  • Download URL: seb-0.5.3-py3-none-any.whl
  • Upload date:
  • Size: 256.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for seb-0.5.3-py3-none-any.whl
Algorithm Hash digest
SHA256 74b106ebb1036a8d293cb619dce922d7d1a7272359129e8ba1a394d913317468
MD5 f315dc11ba71aa9dec949221e204253d
BLAKE2b-256 2ef22cf1a40763a7b2325e2a76d45388b7e10c55d6db3946983bcee8e7e54ca0

See more details on using hashes here.

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