embeddings-benchmark

embeddings-benchmark/mteb

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

42 good first / help-wanted issues · Python · last activity Jul 2, 2026

benchmark bitext-mining clustering embeddings evaluation information-retrieval low-resource-nlp mteb multilingual-nlp multimodal neural-search reranking retrieval sbert semantic-search sentence-transformers sts text-classification text-embedding
42 Open Issues Need Help Last updated: Jul 2, 2026

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good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue new dataset
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue new dataset
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Add SciRepEval 9 days ago
good first issue help wanted new dataset
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue help wanted repro
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Add GenBench 2 months ago
good first issue new benchmark
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue new dataset audio priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue new model priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue ready for implementation
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue leaderboard evaluation request
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue ready for implementation
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Add SGPT models 9 months ago
good first issue new model priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue help wanted maeb priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue help wanted priority::medium
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue image new benchmark priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Add FinMTEB 9 months ago
good first issue new benchmark priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue new dataset priority::low
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue ready for implementation
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue ready for implementation
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue help wanted
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding

AI Summary: This GitHub issue proposes adding a "contact person" field to existing models within the system. The suggestion arises from the user's frequent need for this information, implying it would enhance the utility and completeness of the model data.

Complexity: 3/5
enhancement help wanted
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Add PIRB 11 months ago
good first issue new dataset
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue leaderboard
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue help wanted
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue mieb
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
enhancement good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Integrate mmE5 about 1 year ago
good first issue new model mieb v2
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Handle MRL over 1 year ago

AI Summary: Implement support for Maximum Retrieval Length (MRL) in the Massive Text Embedding Benchmark (MTEB) library. This involves adding a configuration parameter to control the truncation of embeddings to a specified maximum length, allowing for evaluation with different MRL settings.

Complexity: 3/5
enhancement good first issue
embeddings-benchmark/mteb
3.3K

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Python
#benchmark#bitext-mining#clustering#embeddings#evaluation#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding