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MTEB is a Python framework for evaluating embeddings and retrieval systems for both text and image.
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MTEB covers more than 1000 languages and diverse tasks, from classics like classification and clustering to use-case specialized tasks such as legal, code, or healthcare retrieval.
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You can get started using [`mteb`](https://github.com/embeddings-benchmark/mteb)
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| Overview | |
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| π©βπ» [Adding a benchmark] | How to add a new benchmark to MTEB and to the leaderboard |
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| π€ [Contributing] | How to contribute to MTEB and set it up for development |
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[Get Started]: https://embeddings-benchmark.github.io/mteb/
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[Defining Models]: https://embeddings-benchmark.github.io/mteb/usage/defining_the_model/
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[Selecting tasks]: https://embeddings-benchmark.github.io/mteb/usage/selecting_tasks/
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[Running Evaluation]: https://embeddings-benchmark.github.io/mteb/usage/running_the_evaluation/
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[Loading Results]: https://embeddings-benchmark.github.io/mteb/usage/loading_results/
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[Tasks]: https://embeddings-benchmark.github.io/mteb/overview/available_tasks/
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[Benchmarks]: https://embeddings-benchmark.github.io/mteb/overview/available_benchmarks/
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[Models]: https://embeddings-benchmark.github.io/mteb/overview/available_models/text/
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[Contributing]: https://embeddings-benchmark.github.io/mteb/CONTRIBUTING/
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MTEB is a Python framework for evaluating embeddings and retrieval systems for both text and image.
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MTEB covers more than 1000 languages and diverse tasks, from classics like classification and clustering to use-case specialized tasks such as legal, code, or healthcare retrieval.
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You can get started using [`mteb`](https://github.com/embeddings-benchmark/mteb).
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| Overview | |
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|--------------------------------|--------------------------------------------------------------------------------------|
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|
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| 31 |
| π©βπ» [Adding a benchmark] | How to add a new benchmark to MTEB and to the leaderboard |
|
| 32 |
| π€ [Contributing] | How to contribute to MTEB and set it up for development |
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| 33 |
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| 34 |
+
[Get Started]: https://embeddings-benchmark.github.io/mteb/
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| 35 |
+
[Defining Models]: https://embeddings-benchmark.github.io/mteb/get_started/usage/defining_the_model/
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| 36 |
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[Selecting tasks]: https://embeddings-benchmark.github.io/mteb/get_started/usage/selecting_tasks/
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| 37 |
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[Running Evaluation]: https://embeddings-benchmark.github.io/mteb/get_started/usage/running_the_evaluation/
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| 38 |
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[Loading Results]: https://embeddings-benchmark.github.io/mteb/get_started/usage/loading_results/
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| 39 |
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[Tasks]: https://embeddings-benchmark.github.io/mteb/overview/available_tasks/retrieval/
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[Benchmarks]: https://embeddings-benchmark.github.io/mteb/overview/available_benchmarks/
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[Models]: https://embeddings-benchmark.github.io/mteb/overview/available_models/text/
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[Contributing]: https://embeddings-benchmark.github.io/mteb/CONTRIBUTING/
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