Update README.md

README.md

@@ -213,6 +213,18 @@ In these metrics, keep in mind that
 
    When the sentences are longer and more practical, these ambiguities abound and affect all 3 analytics.
 
+## Test Data and Example Generation
+Each test example was generated using the following procedure:
+
+1. Concatenate 10 random sentences
+2. Lower-case the concatenated sentence
+3. Remove all punctuation
+
+The data is a held-out portion of News Crawl, which has been deduplicated. 
+3,000 lines of data was used, generating 3,000 unique examples of 10 sentences each.
+
+## Results
+
 <details open>
 
   <summary>Punctuation Report</summary>
@@ -267,20 +279,6 @@ In these metrics, keep in mind that
 
 </details>
 
-## Test Data and Example Generation
-Each test example was generated using the following procedure:
-
-1. Concatenate 10 random sentences
-2. Lower-case the concatenated sentence
-3. Remove all punctuation
-
-The data is a held-out portion of News Crawl, which has been deduplicated. 
-2,000 lines of data was used, generating 2,000 unique examples of 10 sentences each.
-
-Examples longer than the model's maximum length (256) were truncated. 
-The number of affected sentences can be estimated from the "full stop" support: with 2,000 sentences and 10 sentences per example, we expect 20,000 full stop targets total.
-
-## Results
 
 # Fun Facts
 Some fun facts are examined in this section.