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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), check out our [documentation](https://embeddings-benchmark.github.io/mteb/usage/get_started/).
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  | Overview | |
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  |--------------------------------|--------------------------------------------------------------------------------------|
@@ -31,12 +31,12 @@ You can get started using [`mteb`](https://github.com/embeddings-benchmark/mteb)
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  | πŸ‘©β€πŸ’» [Adding a benchmark] | How to add a new benchmark to MTEB and to the leaderboard |
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  | 🀝 [Contributing] | How to contribute to MTEB and set it up for development |
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- [Get Started]: https://embeddings-benchmark.github.io/mteb/usage/get_started/
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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/any2anymultilingualretrieval/
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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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  | πŸ‘©β€πŸ’» [Adding a benchmark] | How to add a new benchmark to MTEB and to the leaderboard |
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  | 🀝 [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/get_started/usage/defining_the_model/
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+ [Selecting tasks]: https://embeddings-benchmark.github.io/mteb/get_started/usage/selecting_tasks/
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+ [Running Evaluation]: https://embeddings-benchmark.github.io/mteb/get_started/usage/running_the_evaluation/
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+ [Loading Results]: https://embeddings-benchmark.github.io/mteb/get_started/usage/loading_results/
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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/