remove deduplication tutorial

tutorials/README.md

@@ -12,5 +12,4 @@ This is a list of all our tutorials. They are all self-contained ipython noteboo
 |                    | what?                                                                                                                                                                      | Link |
 |--------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------|
 | **Recipe search** 🍝 | Learn how to do lightning-fast semantic search by distilling a small model. Compare a really tiny model to a larger with one with a better vocabulary. Learn what Fattoush is (delicious). | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/recipe_search.ipynb)     |
-| **Semantic deduplication** 🧹 | Learn how Model2Vec can be used to detect duplicate texts. Clean your dataset efficiently by finding both exact and semantic duplicates. Detect train-test leakage. | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_deduplication.ipynb) |
 | **Semantic chunking** 🧩 | Learn how to chunk your text into meaningful segments with [Chonkie](https://github.com/bhavnicksm/chonkie) at lightning-speed. Efficiently query your chunks with [Vicinity](https://github.com/MinishLab/vicinity). | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/minishlab/model2vec/blob/master/tutorials/semantic_chunking.ipynb) |