ADIP-QCRI/MTEB-lite

MTEB-lite MTEB-lite is a set of small subsets of embedding benchmarks that estimate a text-embedding model's full-benchmark scores at a small fraction of the cost: eng: MTEB(eng, v2) (41 tasks), K = 100 items per task eng-super: MTEB(eng, v2) (41 tasks), K = 20 items per task ara-super: Arabic MMTEB (42 test tasks), K = 20 items per task For every task, a fixed set of items (queries, test examples, sentence pairs, clustering items, documents, bitext pairs) was chosen from a… See the full description on the dataset page: https://huggingface.co/datasets/ADIP-QCRI/MTEB-lite.

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