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

Citation

To cite this work please refer to the following article:

Enevoldsen, K., Kardos, M., Muennighoff, N., & Nielbo, K. (2024). The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding. https://openreview.net/forum?id=pJl_i7HIA72

or use the following BibTeX:

@misc{enevoldsen2024scandinavian,
      title={The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding}, 
      author={Kenneth Enevoldsen and Márton Kardos and Niklas Muennighoff and Kristoffer Laigaard Nielbo},
      year={2024},
      eprint={2406.02396},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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-0.13.5.tar.gz (2.0 MB view details)

Uploaded Source

Built Distribution

seb-0.13.5-py3-none-any.whl (689.3 kB view details)

Uploaded Python 3

File details

Details for the file seb-0.13.5.tar.gz.

File metadata

  • Download URL: seb-0.13.5.tar.gz
  • Upload date:
  • Size: 2.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for seb-0.13.5.tar.gz
Algorithm Hash digest
SHA256 6f8472812b04310020b1dacac9abbd8521f0b660af7392ae320ba517ee65e451
MD5 dd1bbad1c9263411b4ceb1d77feaf171
BLAKE2b-256 c95d8cbf828aefb7bba9b7da29e4cecafd564b001dce112a8cec1918fa60dc6a

See more details on using hashes here.

File details

Details for the file seb-0.13.5-py3-none-any.whl.

File metadata

  • Download URL: seb-0.13.5-py3-none-any.whl
  • Upload date:
  • Size: 689.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for seb-0.13.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3e9f805044d54624236a181d44d4857c34a64b590a8c5f2afd228126bc76a09d
MD5 2b5c0b1f714d19a47020a6b58da68c4e
BLAKE2b-256 92b83ef378f92b58f9d0983a1ba633954c7dd5547db85962267960ef43fca68e

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