diff --git a/docs/adding_a_dataset.md b/docs/adding_a_dataset.md
index 4d01be91ef..4dc1b70a2f 100644
--- a/docs/adding_a_dataset.md
+++ b/docs/adding_a_dataset.md
@@ -77,7 +77,7 @@ evaluation = MTEB(tasks=[MindSmallReranking()])
 evaluation.run(model)
 ```
 
-> **Note:** for multilingual / crosslingual tasks, make sure your class also inherits from the `MultilingualTask` class like in [this](https://github.com/embeddings-benchmark/mteb-draft/blob/main/mteb/tasks/Classification/MTOPIntentClassification.py) example.
+> **Note:** for multilingual / crosslingual tasks, make sure your class also inherits from the `MultilingualTask` class like in [this](https://github.com/embeddings-benchmark/mteb/blob/main/mteb/tasks/Classification/multilingual/MTOPIntentClassification.py) example.
 
 
 
diff --git a/docs/adding_a_model.md b/docs/adding_a_model.md
index bae2a257e0..bd37bc5fe1 100644
--- a/docs/adding_a_model.md
+++ b/docs/adding_a_model.md
@@ -29,7 +29,7 @@ mteb run -m {model_name} -t {task_names}
 
 These will save the results in a folder called `results/{model_name}/{model_revision}`.
 
-For reference you can also look at [scripts/run_mteb_english.py](https://github.com/embeddings-benchmark/mteb/blob/main/scripts/run_mteb_english.py) for all MTEB English datasets used in the main ranking, or [scripts/run_mteb_chinese.py](https://github.com/embeddings-benchmark/mteb/blob/main/scripts/run_mteb_chinese.py) for the Chinese ones. 
+For reference you can also look at [scripts/data/run_mteb_english.py](https://github.com/embeddings-benchmark/mteb/blob/main/scripts/data/run_mteb_english.py) for all MTEB English datasets used in the main ranking.
 Advanced scripts with different models are available in the [mteb/mtebscripts repo](https://github.com/embeddings-benchmark/mtebscripts).
 
 2. **Format the results using the CLI:**