MTEB
Massive Text Embedding Benchmark
홈페이지 · 논문 155편
MTEB is a benchmark that spans 8 embedding tasks covering a total of 56 datasets and 112 languages. The 8 task types are Bitext mining, Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity and Summarisation. The 56 datasets contain varying text lengths and they are grouped into three categories: Sentence to sentence, Paragraph to paragraph, and Sentence to paragraph. Check the latest leaderboards at HuggingFace.
Texts벤치마크
Text Classification on MTEB
결과 62개
Text Clustering on MTEB
결과 31개
Text Retrieval on MTEB
결과 30개
Text Summarization on MTEB
결과 26개