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https://issues.apache.org/jira/browse/OPENNLP-1482?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17715981#comment-17715981
 ] 

ASF GitHub Bot commented on OPENNLP-1482:
-----------------------------------------

atarora commented on code in PR #531:
URL: https://github.com/apache/opennlp/pull/531#discussion_r1175767819


##########
opennlp-docs/src/docbkx/evaltest.xml:
##########
@@ -0,0 +1,77 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN"
+"http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd";[
+]>
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+<chapter id="opennlp.evaltest">
+<title>Evaluation Test Data</title>
+       <section id="opennlp.evaltest.whatisit">
+               <title>What is it ?</title>
+               <para>
+                       Eval test data is the data that helps with the 
evaluation tests to evaluate the functionality and
+                       performance of OpenNLP.
+                       These tests ensure reliability and can help identify 
potential bugs, errors, or performance issues.
+               </para>
+               <para>
+                       The evaluation tests leverage the k-fold 
cross-validation procedure.
+                       This technique works by dividing the eval-data into 'k' 
equally sized parts or folds.

Review Comment:
   <i> and <pre> did not seem to work , I used <code>





> Document the OpenNLP eval test data
> -----------------------------------
>
>                 Key: OPENNLP-1482
>                 URL: https://issues.apache.org/jira/browse/OPENNLP-1482
>             Project: OpenNLP
>          Issue Type: Task
>          Components: Documentation
>            Reporter: Jeff Zemerick
>            Assignee: Atita Arora
>            Priority: Major
>
> Document the OpenNLP eval test data. Include things like what it is, where it 
> is, how to use it, how to change it, etc.
> [https://nightlies.apache.org/opennlp/opennlp-data.zip]
> How to change files on nightlies: https://nightlies.apache.org/authoring.html



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