MMTEB (Massive Multilingual Text Embedding Benchmark) is a large-scale, open collaboration benchmark with over 500 tasks, covering many low-resource languages. It includes diverse and challenging tasks such as instruction following, long-document retrieval, and code retrieval. It also uses a downsampling technique to minimize evaluation resources.
No results indexed yet — be the first to submit a score.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.