MTEB

Massive Text Embedding Benchmark retrieval tasks.

Overview

Field	Value
Modality	Text
Generation GT	No
HF Repository	mteb-dumps
Paper	Muennighoff et al., 2023

Description

MTEB provides a comprehensive evaluation of text embedding models across multiple tasks. The retrieval subset focuses on document retrieval performance.

Download

autorag-research data restore mteb <dataset_name>_<embedding_model>

Ingest from Source

autorag-research ingest --name=mteb --extra dataset-name=<name> --embedding-model=openai-small

Best For

• Embedding model comparison
• General text retrieval
• Dense retrieval evaluation