Mteb

Latest version: v1.34.22

Safety actively analyzes 707283 Python packages for vulnerabilities to keep your Python projects secure.

Scan your dependencies

Page 61 of 77

1.7.35

Fix

* fix: Add GreekCivicsQA and results (570)

* add GreekCivicsQA and results
* remove title
* points
* use sha256 yields the same results
* make lint ([`94c3b9a`](https://github.com/embeddings-benchmark/mteb/commit/94c3b9a29618d9c1cf059ae72f2e9119ea0e0273))

Unknown

* Update tasks table ([`2452aee`](https://github.com/embeddings-benchmark/mteb/commit/2452aeee3e7a7c8c878202255f8ee7b9ea3024ba))

* Update points table ([`3964256`](https://github.com/embeddings-benchmark/mteb/commit/39642568ae122ae0fd49f4281a18f39115adcbf5))

1.7.34

Fix

* fix: Add DBpedia dataset (501)

* add dbpedia dataset

* add points

* PR comments

* calc results again

* fill all metadata

* fix test

* Update docs/mmteb/points/501.jsonl

---------

Co-authored-by: Isaac Chung <chungisaac1217gmail.com> ([`c49de83`](https://github.com/embeddings-benchmark/mteb/commit/c49de833fc11544e3623267e87df7c50ed7104cf))

Unknown

* Update tasks table ([`b93e595`](https://github.com/embeddings-benchmark/mteb/commit/b93e59551e32d559bf208df7bc55d872e33ff6a7))

* Update points table ([`a5b75e0`](https://github.com/embeddings-benchmark/mteb/commit/a5b75e025271a3f6375b4f0024dc094280769d90))

1.7.33

Fix

* fix: Add Big Patent Classification dataset (497)

* add MIRACLFrReranking dataset

* remove old fr file

* re-add patent data

* fix for mat issue

* add dataset and result files

* add bibtex

* add scores

---------

Co-authored-by: Shreeya Dhakal <shreeyadhakalShreeyas-Mac-mini.local> ([`5baeb90`](https://github.com/embeddings-benchmark/mteb/commit/5baeb9009e26159e6951003e2799a69146031565))

Unknown

* Update tasks table ([`06d9794`](https://github.com/embeddings-benchmark/mteb/commit/06d9794263ff5b22118ce736d2dbcab0041dfe95))

* Update points table ([`29f4fb1`](https://github.com/embeddings-benchmark/mteb/commit/29f4fb1610405da65f79a0149df0b9bad9b14e9c))

* Update tasks table ([`7102977`](https://github.com/embeddings-benchmark/mteb/commit/7102977eeb8fb2c8540256ab5669c3f144390a21))

* Update points table ([`9fb3e37`](https://github.com/embeddings-benchmark/mteb/commit/9fb3e37a1e381c134a097ef0878a890cb9cde44e))

* Add XQuAD dataset in Retrieval task (565)

* add XQuAD dataset in Retrieval task

* update metadata and make data loading efficient

* add points for contribution

* add contributor information to README

* update points ([`c7a7b36`](https://github.com/embeddings-benchmark/mteb/commit/c7a7b36eff8d4fb42e26fe10fd4ef3933022a78c))

* Update points table ([`28e5522`](https://github.com/embeddings-benchmark/mteb/commit/28e55225dd2fd4d68f6598fae5f3be43cac7e30b))

* Check that metadata is filled (550)

* fix: don&39;t change bibtex citation to &34;&34; for historic datasets

* specify empty values for dialect and bibtex

* chore: move historic datasets to test file

* fix: update taskmetadata in adding a dataset example

* chore: update datasets without filled metadata

* chore: lint

* 1.7.31

Automatically generated by python-semantic-release

* chore: add new datasets without filled metadata to whitelist

* chore: delete unused file

---------

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsengmail.com>
Co-authored-by: github-actions <github-actionsgithub.com> ([`49353d6`](https://github.com/embeddings-benchmark/mteb/commit/49353d6e8c809c75de353d74a69c116551299aa7))

* Update tasks table ([`8088e65`](https://github.com/embeddings-benchmark/mteb/commit/8088e65b9cf6cac6bdf0ccd081f3226fdd71df37))

1.7.32

Fix

* fix: Add LegalBench datasets (515)

* Add LegalBench: Canada Tax Court Outcomes dataset

* Apply suggestions from code review

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsengmail.com>

* Make changes based on review; Add information to points table

* Add additional datasets

* Add points

---------

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsengmail.com> ([`53429e1`](https://github.com/embeddings-benchmark/mteb/commit/53429e1d50327a553b1030fdfa8a889b1723dd49))

Unknown

* Update points table ([`d634c13`](https://github.com/embeddings-benchmark/mteb/commit/d634c1329cf1b648846ad466533269a7b2c4ed00))

1.7.31

Fix

* fix: Converted german clustering task to fast (528)

* Added get tasks getter

* Updated german clusterings tasks

* Added meta

* docs: Added points ([`1e44b98`](https://github.com/embeddings-benchmark/mteb/commit/1e44b98535eb612551a5d8f68378b45e3a51670c))

* fix: Make MLSUM a multilingual task (556)

* fix: make MLSUM multilingual

* chore: add result

* fix: update languages

* chore: add linting

* fix: add bibtext citation

* Update mteb/tasks/Clustering/multilingual/MLSUMClusteringP2P.py

Co-authored-by: Isaac Chung <chungisaac1217gmail.com>

* chore: add minilm results and comment

* chore: add more results

* chore: update metadata

* Update mteb/tasks/Clustering/multilingual/MLSUMClusteringP2P.py

Co-authored-by: Isaac Chung <chungisaac1217gmail.com>

* chore: add points

* chore: fix metadata

---------

Co-authored-by: Isaac Chung <chungisaac1217gmail.com> ([`b02f481`](https://github.com/embeddings-benchmark/mteb/commit/b02f48146be608c558e1a742dd54196bc0031fc3))

Unknown

* Update tasks table ([`f52fe21`](https://github.com/embeddings-benchmark/mteb/commit/f52fe2100067e7851c3720f392e8284a4a90f90e))

* Update points table ([`ce56c1c`](https://github.com/embeddings-benchmark/mteb/commit/ce56c1c733244e8021143981815c1f7ebd370f0e))

* Update points table ([`ad6f3d8`](https://github.com/embeddings-benchmark/mteb/commit/ad6f3d871b55110a91be4a1d812fc89a84a4d4c0))

* Update tasks table ([`fbc1b59`](https://github.com/embeddings-benchmark/mteb/commit/fbc1b59dc453337d17485def7af4e46ab16788e7))

* Update points table ([`1f4b14e`](https://github.com/embeddings-benchmark/mteb/commit/1f4b14ef18452ce94b87ae38e624220c0df8fd14))

* Add Sanskrit Shlokas Dataset (506)

* Add Sanskrit Shlokas Dataset

* Add model results and review changes

* Add model results and review changes

* Add points ([`0486777`](https://github.com/embeddings-benchmark/mteb/commit/048677712943cc27158e2d7745882781c26bc2c8))

1.7.30

Fix

* fix: Change MultiHateClassification to use dataset_transform (558)

* change MultiHateClassification to use dataset_transform istead of overloading load_dataset

* added points

* Update docs/mmteb/points/558.jsonl

---------

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsengmail.com> ([`2a3cd79`](https://github.com/embeddings-benchmark/mteb/commit/2a3cd79352860669623f096aa0125738f40c6a65))

Unknown

* Update points table ([`f79217a`](https://github.com/embeddings-benchmark/mteb/commit/f79217abb1ce6c6e88b3ecee5069e578ee66db01))

Page 61 of 77

Links

Releases

Has known vulnerabilities

© 2025 Safety CLI Cybersecurity Inc. All Rights Reserved.