docs: updated reference to ner performance

docs/conf.py

@@ -45,7 +45,10 @@
 # Do not execute the notebooks when building the docs (turned off by default)
 nb_execution_raise_on_error = True
 nb_execution_mode = "cache"
-nb_execution_excludepatterns = ["tutorials/dont_run/*", "tutorials/robustness.ipynb"]
+nb_execution_excludepatterns = [
+    "tutorials/robustness.ipynb",
+    "docs/performance_ner.ipynb",
+]
 
 
 # Automatically extract typehints when specified and place them in

docs/performance.general.rst

@@ -21,6 +21,15 @@ The speed of the DaNLP model is as reported by the framework (v. 0.0.11), which
 However, given the model size, it can be expected to reach speeds comparable to DaCy medium.
 
 
+
+.. add reference to: https://centre-for-humanities-computing.github.io/DaCy/performance_ner.html
+
+.. admonition:: Want to see more performance metrics for Named entity recognition?
+   :class: important
+
+   If you want to see a updated comparison of the performance of the NER models, check out the `NER performance page <https://centre-for-humanities-computing.github.io/DaCy/performance_ner.html>`__.
+
+
 .. admonition:: What is LAS and UAS?
    :class: note
 

docs/performance.robustness.rst

@@ -57,7 +57,7 @@ Named entity recognition
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 The performance comparisons for robustness of NER models have all been moved to the its own section together to easily allow for comparison. Please
-see the `Named Entity Recognition <https://centre-for-humanities-computing.github.io/DaCy/tutorials/dont_run_performance_ner.html>`__ section for more details.
+see the `Named Entity Recognition <https://centre-for-humanities-computing.github.io/DaCy/performance_ner.html>`__ section for more details.
 
 
 

docs/performance.rst

@@ -8,5 +8,4 @@ DaCy is evaulate contains performance metrics for
 
   performance.general
   performance.robustness
-  tutorials/dont_run/performance_ner
-  tutorials/robustness
+  tutorials/performance_ner