Update doc error messages

argilla-io · Jul 22, 2024 · 832265d · 832265d
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diff --git a/argilla/docs/getting_started/quickstart.md b/argilla/docs/getting_started/quickstart.md
@@ -27,7 +27,7 @@ After succesfully running this step, you should be able to see Argilla's UI sign
 
 !!! tip "Default user credentials to log into the UI"
 
-    This type of deployment automatically sets up some default users for you. Check [this guide](../how-to-guides/user.md) to log in for the first time in the UI.
+    This type of deployment automatically sets up some default users for you. Check [this guide](../how_to_guides/user.md) to log in for the first time in the UI.
 
 ### Install the SDK with pip
 

diff --git a/argilla/docs/how_to_guides/import_export.md b/argilla/docs/how_to_guides/import_export.md
@@ -10,7 +10,7 @@ In Argilla, you can import/export two main components of a dataset:
 - The dataset's complete configuration defined in `rg.Settings`. This is useful if your want to share your feedback task or restore it later in Argilla.
 - The records stored in the dataset, including `Metadata`, `Vectors`, `Suggestions`, and `Responses`. This is useful if you want to use your dataset's records outside of Argilla.
 
-Check the [Dataset - Python Reference](../reference/argilla/datasets/dataset.md) to see the attributes, arguments, and methods of the export `Dataset` class in detail.
+Check the [Dataset - Python Reference](../reference/argilla/datasets/datasets.md) to see the attributes, arguments, and methods of the export `Dataset` class in detail.
 
 To import records to a dataset, used the `rg.Datasets.records.log` method. Their is a guide on how to do this in the [Record - Python Reference](record.md).
 

diff --git a/argilla/docs/reference/argilla/datasets/datasets.md b/argilla/docs/reference/argilla/datasets/datasets.md
@@ -26,7 +26,7 @@ dataset = rg.Dataset(
 dataset.create()
 ```
 
-For a detail guide of the dataset creation and publication process, see the [Dataset how to guide](/argilla-python/how_to_guides/dataset).
+For a detail guide of the dataset creation and publication process, see the [Dataset how to guide](../../../how_to_guides/dataset.md).
 
 ### Retrieving an existing Dataset
 

diff --git a/argilla/docs/tutorials/text_classification.ipynb b/argilla/docs/tutorials/text_classification.ipynb
@@ -417,7 +417,7 @@
     "After the annotation, we will have a robust dataset to train the main model. In our case, we will fine-tune using SetFit. However, you can select the one that best fits your requirements. So, let's start by retrieving the annotated records.\n",
     "\n",
     "!!! note\n",
-    "    Check this [how-to guide](../how_to_guides/query_export.md) to know more about filtering and querying in Argilla."
+    "    Check this [how-to guide](../how_to_guides/query.md) to know more about filtering and querying in Argilla."
    ]
   },
   {

diff --git a/argilla/mkdocs.yml b/argilla/mkdocs.yml
@@ -153,7 +153,7 @@ nav:
       - Python SDK: reference/argilla/
       - FastAPI Server:
         - Server configuration: reference/argilla-server/configuration.md
-        - Database migration: reference/argilla-server/configuration.md
+        - Database migrations: reference/argilla-server/migrations.md
       - Telemetry:
         - Server Telemetry: reference/argilla-server/telemetry.md
   - Community: