Omkar2118/datasets huggingface dataset:
MTEB
Full name: Massive Text Embedding Benchmark

**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](https://huggingface.co/spaces/mteb/leaderboard).

Introducing paper: MTEB: Massive Text Embedding Benchmark