docs: fix dead links

Author: Josselin BUILS

docs/sdk/tutorials/export_a_kili_project.md

@@ -240,7 +240,7 @@ You can export your project data from the Kili UI (see [documentation](https://d
 
 The [`.export_labels`](https://python-sdk-docs.kili-technology.com/latest/sdk/label/#kili.entrypoints.queries.label.__init__.QueriesLabel.export_labels) method enables the export of a full project. It does the following preprocessing:
 
-* Only fetches the labels of types `"DEFAULT"` and `"REVIEW"` (see the [label types explanations](https://docs.kili-technology.com/docs/asset-lifecycle#label-types-and-definitions-throughout-an-asset-lifecycle)).
+* Only fetches the labels of types `"DEFAULT"` and `"REVIEW"` (see the [label types explanations](https://docs.kili-technology.com/reference/label-types)).
 * If specified, selects a subset of asset ids.
 * Exports labels to one of the standard formats (only available for a restricted set of ML tasks).
 * Using various method arguments, you can decide:

docs/sdk/tutorials/finetuning_dinov2.md

@@ -695,7 +695,7 @@ The pre-annotations will be helpful for the labelers to label the assets, since
 
 The inference labels will be used to evaluate the quality of the model against labelers.
 
-You can learn more about the different kinds of labels in the [Kili documentation](https://docs.kili-technology.com/docs/asset-lifecycle).
+You can learn more about the different kinds of labels in the [Kili documentation](https://docs.kili-technology.com/reference/label-types).
 
 
 ```python

docs/sdk/tutorials/importing_pascalvoc.md

@@ -32,7 +32,7 @@ from kili.client import Kili
 
 ## Download Pascal VOC format
 
-The images and annotations for the full dataset can be found [here](http://host.robots.ox.ac.uk/pascal/VOC/).
+The images and annotations come from the Oxford's PASCAL Visual Object Classes Challenge.
 
 For this tutorial we will use a subset from the validation set from 2012.
 

docs/sdk/tutorials/set_up_workflows.md

@@ -222,7 +222,7 @@ Now, let's place some assets in the review queue. The method will return a proje
 kili.add_to_review(project_id=project_id, external_ids=["4.jpg"])
 ```
 
-For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/asset-lifecycle).
+For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/multi-steps-review#asset-steps-and-statuses).
 
 ### Sending an asset back to the labeling queue
 
@@ -240,7 +240,7 @@ kili.send_back_to_queue(project_id=project_id, external_ids=["4.jpg"])
 
 
 
-For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/asset-lifecycle).
+For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/multi-steps-review#asset-steps-and-statuses).
 
 ## Cleanup
 

recipes/export_a_kili_project.ipynb

@@ -655,7 +655,7 @@
     "\n",
     "The [`.export_labels`](https://python-sdk-docs.kili-technology.com/latest/sdk/label/#kili.entrypoints.queries.label.__init__.QueriesLabel.export_labels) method enables the export of a full project. It does the following preprocessing:\n",
     "\n",
-    "* Only fetches the labels of types `\"DEFAULT\"` and `\"REVIEW\"` (see the [label types explanations](https://docs.kili-technology.com/docs/asset-lifecycle#label-types-and-definitions-throughout-an-asset-lifecycle)).\n",
+    "* Only fetches the labels of types `\"DEFAULT\"` and `\"REVIEW\"` (see the [label types explanations](https://docs.kili-technology.com/reference/label-types)).\n",
     "* If specified, selects a subset of asset ids.\n",
     "* Exports labels to one of the standard formats (only available for a restricted set of ML tasks).\n",
     "* Using various method arguments, you can decide:\n",

recipes/finetuning_dinov2.ipynb

@@ -1224,7 +1224,7 @@
     "\n",
     "The inference labels will be used to evaluate the quality of the model against labelers.\n",
     "\n",
-    "You can learn more about the different kinds of labels in the [Kili documentation](https://docs.kili-technology.com/docs/asset-lifecycle)."
+    "You can learn more about the different kinds of labels in the [Kili documentation](https://docs.kili-technology.com/reference/label-types)."
    ]
   },
   {

recipes/finetuning_openai.ipynb

@@ -462,7 +462,7 @@
    "metadata": {},
    "source": [
     "Now we'll upload the model-generated labels to the assets that we upload to Kili earlier on.\n",
-    "For more information on Kili's INFERENCE-type labels, see https://docs.kili-technology.com/docs/asset-lifecycle#inference."
+    "For more information on Kili's INFERENCE-type labels, see https://docs.kili-technology.com/reference/label-types#inference."
    ]
   },
   {

recipes/importing_pascalvoc.ipynb

@@ -64,7 +64,7 @@
    "source": [
     "## Download Pascal VOC format\n",
     "\n",
-    "The images and annotations for the full dataset can be found [here](http://host.robots.ox.ac.uk/pascal/VOC/).\n",
+    "The images and annotations come from the Oxford's PASCAL Visual Object Classes Challenge.\n",
     "\n",
     "For this tutorial we will use a subset from the validation set from 2012.\n"
    ]

recipes/set_up_workflows.ipynb

@@ -536,7 +536,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/asset-lifecycle)."
+    "For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/multi-steps-review#asset-steps-and-statuses)."
    ]
   },
   {
@@ -580,7 +580,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/asset-lifecycle)."
+    "For more information on asset statuses, refer to our [documentation](https://docs.kili-technology.com/docs/multi-steps-review#asset-steps-and-statuses)."
    ]
   },
   {