seb
A Scandinavian Benchmark for sentence embeddings
https://github.com/kennethenevoldsen/scandinavian-embedding-benchmark
Science Score: 67.0%
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○Scientific vocabulary similarity
Low similarity (13.8%) to scientific vocabulary
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Repository
A Scandinavian Benchmark for sentence embeddings
Basic Info
- Host: GitHub
- Owner: KennethEnevoldsen
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/
- Size: 5.41 MB
Statistics
- Stars: 40
- Watchers: 2
- Forks: 7
- Open Issues: 27
- Releases: 57
Topics
Metadata Files
README.md
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:
bash
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 work accepted at neurips:
Enevoldsen, K., Kardos, M., Muennighoff, N., & Nielbo, K. (2024). The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding. In Advances in Neural Information Processing Systems
or use the following BibTeX:
@inproceedings{enevoldsen2024scandinavian,
title={The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding},
author={Enevoldsen, Kenneth and Kardos, M{\'a}rton and Muennighoff, Niklas and Nielbo, Kristoffer},
booktitle={Advances in Neural Information Processing Systems},
year={2024},
url={https://nips.cc/virtual/2024/poster/97869}
}
Owner
- Name: Kenneth Enevoldsen
- Login: KennethEnevoldsen
- Kind: user
- Location: Aarhus
- Company: Center for Humanities Computing Aarhus
- Website: kennethEnevoldsen.com
- Twitter: KCEnevoldsen
- Repositories: 9
- Profile: https://github.com/KennethEnevoldsen
Interdisciplinary PhD Student on representation learning in Clinical NLP and Genetics at Aarhus University and Interacting Minds Centre
Citation (citation.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Scandinavian Embedding Benchmark
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Kenneth
family-names: Enevoldsen
email: kenneth.enevoldsen@cas.au.dk
affiliation: Center for Humanities Computing
orcid: 'https://orcid.org/0000-0001-8733-0966'
- given-names: Lasse
family-names: Hansen
affiliation: Center for Humanities Computing
orcid: 'https://orcid.org/0000-0003-1113-4779'
- given-names: Márton
family-names: Kardos
affiliation: Center for Humanities Computing
abstract: >-
The evaluation of English text embeddings has transitioned
from evaluating a handful of datasets to broad coverage
across many tasks through benchmarks such as MTEB.
However, this is not the case for multilingual text
embeddings due to a lack of available benchmarks. To
address this problem, we introduce the Scandinavian
Embedding Benchmark (SEB). SEB is a comprehensive
framework that enables text embedding evaluation for
Scandinavian languages across 24 tasks, 10 subtasks, and 4
task categories. Building on SEB, we evaluate more than 26
models, uncovering significant performance disparities
between public and commercial solutions not previously
captured by MTEB. We open-source SEB and integrate it with
MTEB, thus bridging the text embedding evaluation gap for
Scandinavian languages.
keywords:
- benchmark
- mteb
- scandinavian nlp
- embedding
- nlp
date-released: '2023-06-01'
preferred-citation:
type: article
title: "The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding"
url: "https://arxiv.org/abs/2406.02396"
year: 2024
authors:
- family-names: "Enevoldsen"
given-names: "Kenneth"
orcid: "https://orcid.org/0000-0001-8733-0966"
- family-names: "Marton"
given-names: "Kardos"
- family-names: "Muennighoff"
given-names: "Niklas"
- family-names: "Nielbo"
given-names: "Kristoffer L."
orcid: "https://orcid.org/0000-0002-5116-5070"
GitHub Events
Total
- Create event: 9
- Release event: 4
- Issues event: 12
- Watch event: 12
- Delete event: 7
- Issue comment event: 13
- Push event: 59
- Pull request review event: 7
- Pull request review comment event: 6
- Pull request event: 17
- Fork event: 5
Last Year
- Create event: 9
- Release event: 4
- Issues event: 12
- Watch event: 12
- Delete event: 7
- Issue comment event: 13
- Push event: 59
- Pull request review event: 7
- Pull request review comment event: 6
- Pull request event: 17
- Fork event: 5
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Kenneth Enevoldsen | k****n@g****m | 358 |
| Márton Kardos | p****3@g****m | 90 |
| github-actions | g****s@g****m | 82 |
| Lasse Hansen | l****0@g****m | 14 |
| jealk | j****r@s****o | 9 |
| dependabot[bot] | 4****] | 6 |
| Tim Isbister | t****r@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 70
- Total pull requests: 51
- Average time to close issues: about 1 month
- Average time to close pull requests: 4 days
- Total issue authors: 7
- Total pull request authors: 4
- Average comments per issue: 2.21
- Average comments per pull request: 1.06
- Merged pull requests: 44
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 8
- Pull requests: 13
- Average time to close issues: 22 days
- Average time to close pull requests: 4 days
- Issue authors: 3
- Pull request authors: 3
- Average comments per issue: 0.13
- Average comments per pull request: 0.54
- Merged pull requests: 11
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- KennethEnevoldsen (81)
- x-tabdeveloping (4)
- sfc-gh-oeriksson (1)
- kwedel (1)
- PierreMesure (1)
- noterat (1)
- tollefj (1)
Pull Request Authors
- KennethEnevoldsen (84)
- x-tabdeveloping (23)
- jalkestrup (4)
- nicher92 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 169 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 52
- Total maintainers: 1
pypi.org: seb
Scandinavian Embedding Benchmark
- Documentation: https://seb.readthedocs.io/
- License: MIT License Copyright © 2023 Kenneth Enevoldsen Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.13.11
published 9 months ago