Scandinavian Embedding Benchmark
Project description
Scandinavian Embedding Benchmark
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
seb-0.11.0.tar.gz
(1.8 MB
view details)
Built Distribution
seb-0.11.0-py3-none-any.whl
(346.5 kB
view details)
File details
Details for the file seb-0.11.0.tar.gz
.
File metadata
- Download URL: seb-0.11.0.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
Algorithm | Hash digest | |
---|---|---|
SHA256 | a383d7e99e7147c00046b0c6b657b272d17029a5894a8b1b160f04b69b2bff75 |
|
MD5 | d884732756eabed822bfc78e8658bf02 |
|
BLAKE2b-256 | d50c63e7ab60136d3dc8f9c3ef9d5e372a8abe80ae87bcb9566963f1c48d210f |
File details
Details for the file seb-0.11.0-py3-none-any.whl
.
File metadata
- Download URL: seb-0.11.0-py3-none-any.whl
- Upload date:
- Size: 346.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c942b0dbdcc0e29ed77e060ce9522efb28e4b9c88f785fe4be47e4b6bf799704 |
|
MD5 | 73eb960d19653aa02054f6c12f8033c2 |
|
BLAKE2b-256 | f4c121229e36ba4c8302536ed96c3b3711000f4123302992fbe912620dff3d46 |