This is the Linux app named MTEB whose latest release can be downloaded as 1.1.1C-MTEB.PL-MTEB,Multi-GPU.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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MTEB
DESCRIPTION
Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking. This makes progress in the field difficult to track, as various models are constantly being proposed without proper evaluation. To solve this problem, we introduce the Massive Text Embedding Benchmark (MTEB). MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages. Through the benchmarking of 33 models on MTEB, we establish the most comprehensive benchmark of text embeddings to date. We find that no particular text embedding method dominates across all tasks. This suggests that the field has yet to converge on a universal text embedding method and scale it up sufficiently to provide state-of-the-art results on all embedding tasks.
Features
- Dataset selection
- Datasets can be selected by providing the list of datasets
- You can also specify which languages to load for multilingual/crosslingual tasks
- You can evaluate only on test splits of all tasks
- Use a custom model
- Evaluate on a custom task
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mteb.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
