Initial inputs

2024/Open-Standards-Code-Sprint/engineering-report/sections/05-results.adoc

@@ -19,6 +19,7 @@ include::results/ogcapiprocesses.adoc[]
 
 include::results/coveragejson.adoc[]
 
+include::architecture/trainingdmlai.adoc[]
 
 === Candidate OGC Standards
 

2024/Open-Standards-Code-Sprint/engineering-report/sections/architecture/trainingdmlai.adoc

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 ==== Training Data Markup Language for Artificial Intelligence
 
-TBA
+The Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) is an encoding to support the storage of Machine Learning Training Datasets. Version 1.0 of the https://docs.ogc.org/is/23-008r3/23-008r3.html[Part 1: Conceptual Model Standard] has been published. Parts 2 & 3 with JSON and XML encodings have been submitted to OGC.  

2024/Open-Standards-Code-Sprint/engineering-report/sections/results/trainingdmlai.adoc

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+==== Training Data Markup Language for Artificial Intelligence
+
+The Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) standard was the focus for a mentoring session, and there was active discussion within the Discord platform.
+
+Wuhan University (WHU) were present online to support the discussions and implementations, which included:
+
+** Pixalytics Ltd (Sam Lavender) worked on updating their implementation, using the https://github.com/openrsgis/pytdml[pytdml] Python library. Problems were faced with recent updates to the library and so an https://github.com/openrsgis/pytdml/issues/11[issue] was raised.