Mteb: Massive Text Embedding Benchmark
The Massive Text Embedding Benchmark (MTEB) is a comprehensive benchmark designed to evaluate the performance of text embedding models across a wide range of tasks and datasets.
Areas of application
- Natural Language Processing
- Text Analytics
- Information Retrieval
- Machine Learning
- Data Science
Example
For example, MTEB could be used to compare the performance of different text embedding models on a variety of natural language processing tasks such as sentiment analysis, question answering, and text classification.