* add Seed-1.6-embedding model

* Update seed_1_6_embedding_models.py

* update model meta info

* support image encoder interface

* error fix

* fix: format seed_1_6_embedding_models.py with Ruff

* fix: Update model selection for the leaderboard

fixes #2834

This removed the lower bound selection, but generally I don't think people should care about the models being too small.

* fix 1M --> 1B

* format

* rename model_size -> max_model_size

Automatically generated by python-semantic-release

update seed1.6 model training data info

Automatically generated by python-semantic-release

* add model meta

* linting

* fix: add check for code lora

* fix: apply review comments

* fix prompt validation

* fix task name split correctly

* add docstring for test

Automatically generated by python-semantic-release

* Adding Hinvec Model's Meta data.

* Adding hinvec_model.py

* Update mteb/models/hinvec_models.py

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsen@gmail.com>

* formated code with Black and lint with Ruff

---------

Co-authored-by: Kenneth Enevoldsen <kennethcenevoldsen@gmail.com>

Bump gradio

* nvidia_llama_nemoretriever_colembed

* correct 3b reference

* lint fix

* add training data and license for nvidia/llama_nemoretriever_colembed

* lint

---------

Co-authored-by: Isaac Chung <chungisaac1217@gmail.com>

* fix sbert `v5`

* add comment

* add listconranker modelmeta

* fix bugs

* use linter

* lint

---------

Co-authored-by: Roman Solomatin <36135455+Samoed@users.noreply.github.com>

* feat: add KaLM_Embedding_X_0605 in kalm_models

* Update kalm_models.py for lint format

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Co-authored-by: xinshuohu <xinshuohu@tencent.com>

comment kalm model

* Add JaCWIR and JQaRA for reranking

* Fix ANLP Journal datasets

* Add NLPJournalAbsArticleRetrieval and JaCWIRRetrieval

* tackle test cases

* Remove _evaluate_subset usage

* Separate v1 and v2

* Update info for NLP Journal datasets

* add tooka v2s

* add mcinext models

* update mcinext.py

* Apply PR review suggestions

* Update mteb/models/mcinext_models.py

---------

Co-authored-by: mehran <mehan.sarmadi16@gmail.com>
Co-authored-by: Kenneth Enevoldsen <kenevoldsen@pm.me>

* Added DadoEvalCoarseClassification

* Removed unnecessary columns from DadoEvalCoarseClassification

* Added EmitClassification task

* added SardiStanceClassification task

* Added GeoLingItClassification task

* Added DisCoTexPairClassification tasks

* Added EmitClassification, DadoEvalCoarseClassification, GeoLingItClassification, SardiStanceClassification inside the inits

* changed import in DisCoTexPairClassification

* removed GeoLingItClassification dataset

* fixed citation formatting, missing metadata parameters and lint formatting

* - Added XGlueWRPReranking task
- Added missing __init__.py files

* fixed metadata in XGlueWRPReranking

* Added MKQARetrieval task

* fixed type in XGlueWRPReranking

* changed MKQARetrieval from  cross-lingual to monolingual

* formatted MKQARetrieval file

* removed unused const

---------

Co-authored-by: Mattia Sangermano <MattiaSangermano@users.noreply.huggingface.co>

fix datasets version

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# Conflicts:
#	README.md
#	docs/adding_a_model.md
#	docs/mieb/readme.md
#	mteb/abstasks/Audio/AbsTaskAudioZeroshotClassification.py
#	mteb/abstasks/TaskMetadata.py
#	mteb/benchmarks/benchmarks.py
#	mteb/custom_validators.py
#	mteb/descriptive_stats/BitextMining/WebFAQBitextMiningQAs.json
#	mteb/descriptive_stats/BitextMining/WebFAQBitextMiningQuestions.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/ROxfordEasyI2IRetrieval.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/ROxfordHardI2IRetrieval.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/ROxfordMediumI2IRetrieval.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/RParisEasyI2IRetrieval.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/RParisHardI2IRetrieval.json
#	mteb/descriptive_stats/Image/Any2AnyRetrieval/RParisMediumI2IRetrieval.json
#	mteb/models/overview.py
#	pyproject.toml
#	scripts/mmteb_create_author_list.ipynb
#	scripts/task_selection/europe_tasks.csv
#	scripts/task_selection/indic_tasks.csv
#	scripts/task_selection/mult_tasks.csv
#	scripts/task_selection/task_selection_eng_lite.ipynb
#	scripts/task_selection/task_selection_eu.ipynb
#	scripts/task_selection/task_selection_example.ipynb
#	scripts/task_selection/task_selection_indic.ipynb
#	scripts/task_selection/task_selection_mult.ipynb
#	tests/test_benchmark/mock_models.py