2.7.27
2.7.27 (2026-02-11)
Documentation
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docs: Outline for adding a task documentation (#4082)
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docs: Outline for adding a task documentation
This is a suggested structure, PR is just to get feedback before I finish it up.
fixes #4077
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upd docs
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install dependencies in ci
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add example with retrieval
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filled out the missing segments
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lint and format
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Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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fix numerating and indent
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add missing imports
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fix links
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add full example for retrieval dataset
Co-authored-by: Roman Solomatin <36135455+Samoed@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> (42b8058)
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docs: Improve docstring for some of the main abstasks (#4083)
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docs: fix
AbsTaskClassificationdocstring formatting and improve docstrings for some of the main tasks -
format (
50bd0fa)
Fix
- fix: Add performance per language tab to more benchmarks (#4066)
Add Performance per language Tab to more benchmarks (4ca1922)
Unknown
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dataset: add 'law-ir_ko' dataset for IR task (#4052)
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law_ir_ko
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Update mteb/tasks/retrieval/kor/law_ir_ko.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
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law_ir_ko info revision
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description
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metadata-info rev
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metadata-info rev
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Update mteb/tasks/retrieval/kor/law_ir_ko.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
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statistics(), reference
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format citation
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author & howpublished rev
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make lint
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description rev
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Update mteb/tasks/retrieval/kor/law_ir_ko.py
Co-authored-by: Kenneth Enevoldsen <kenevoldsen@pm.me>
- Update mteb/tasks/retrieval/kor/law_ir_ko.py
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
Co-authored-by: Roman Solomatin <36135455+Samoed@users.noreply.github.com>
Co-authored-by: Kenneth Enevoldsen <kenevoldsen@pm.me> (1cdc662)
- model: Add ModelMeta for geoffsee/auto-g-embed-st (#4074)
Add ModelMeta for geoffsee/auto-g-embed-st (81540a2)
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Add MetaCLIP 2 model integration (#4065)
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Add MetaCLIP 2 model integration
Add support for facebook/metaclip-2-mt5-worldwide-b32, a multilingual
vision-language model using mT5 tokenizer for worldwide language support.
- 254M parameters, 512 embedding dimension
- Supports 99 languages (XLMR language set)
- Handles MetaCLIP 2's BaseModelOutputWithPooling return format
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add n_embedding_parameters for MetaCLIP 2 model
Set n_embedding_parameters to 128,057,344 (mT5 vocab size 250,112 × embed_dim 512)
to fix test_n_embedding_parameters test failure.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add training metadata for MetaCLIP 2 model
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Apply suggestion from @Samoed
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com> (4280dd9)