embeddings-benchmark/mteb
PythonApache-2.0active
Health
MTEB: Massive Text Embedding Benchmark
Health Breakdown
Activity25
Community25
Maintenance13
Popularity25
#benchmark#bitext-mining#clustering#information-retrieval#low-resource-nlp#mteb#multilingual-nlp#multimodal#neural-search#reranking#retrieval#sbert#semantic-search#sentence-transformers#sts#text-classification#text-embedding
Should you contribute to embeddings-benchmark/mteb?
embeddings-benchmark/mteb has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under Apache-2.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
Community
PythonApache 2.0
active
0d ago
