Documentation
* docs: Update annotations for multilingual STS tasks (902)
* Update STS12STS.py
* Update STSBenchmarkMultilingualSTS.py
* Update STS22CrosslingualSTS.py
* Update STS17CrosslingualSTS.py
* Update STS22CrosslingualSTS.py
* Update STSBenchmarkMultilingualSTS.py
* Update STS17CrosslingualSTS.py
* Update STS12STS.py
* Update STS17CrosslingualSTS.py
* Update STSBenchmarkMultilingualSTS.py
* Update STS22CrosslingualSTS.py
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Co-authored-by: Tikhonova Maria <m_tikhonova94mail.ru> ([`4383fd3`](https://github.com/embeddings-benchmark/mteb/commit/4383fd3a65c16df9598581f32643408e33273cb0))
Fix
* fix: Incorrect handling of qrel_revision fix: 909 (911)
* fix: 909
* fix: 909
* add: points
* clean ([`63cd4b7`](https://github.com/embeddings-benchmark/mteb/commit/63cd4b7f99e9371a90e26014a328231b1f3db810))
Unknown
* Update tasks table ([`30433a9`](https://github.com/embeddings-benchmark/mteb/commit/30433a9a7d8ef6b2b47a95cf2ff9b002088b8a03))
* Update points table ([`d771437`](https://github.com/embeddings-benchmark/mteb/commit/d77143791408269ea69fd6455f4dd5a6782d1805))
* (1) Add WebLINX Candidate Elements Reranking Task; (2) move `convert_conv_history_to_query` from `mteb.evaluation.evaluators.RetrievalEvaluator` to `mteb.evaluation.evaluators.utils` (820)
* Initial file (WIP)
* Update dates, and indicate dotos
* Update mteb/tasks/Reranking/eng/WebLINXCandidatesReranking.py
* Move `convert_conv_history_to_query` from RetrievalEvaluator to utils
* Add WebLINXCandidatesReranking to mteb.tasks.Reranking
* Lint RetrievalEvaluator&39;s imports
* lint mteb.evaluation.evaluator.utils
* Update dataset path, name and revision, n_samples and avg_character_lenght
* Update revision, add load_data method
* Fix typo
* Change main score to mrr, since recall10 is not supported
* Add average results
* Add points
* Run `make lint` ([`e34ddaa`](https://github.com/embeddings-benchmark/mteb/commit/e34ddaac76777e4f3a360a30b5ee2d111c5a9f61))
* Update tasks table ([`b16d7d5`](https://github.com/embeddings-benchmark/mteb/commit/b16d7d5620b987992e16ee663e5d82ee007acd8e))