About the columns in the Data Set Definition dialog
The columns that are available for selection in the Data Set Definition dialog reflect indexes in TEXTML Server. You’ll be familiar with a lot of them from the Search results and DITA Map view – ID, Title, Status, etc.
- Localization Segment Count – returns the number of translatable segments in your document. If you look at the XML, these segments are identified with an ixia_locid attribute.
- Localization Autotranslated Segment Count – returns the number of segments where the system supplied the text for the translation, i.e., the text hadn't changed from the previous revision.
- Collection – identifies a collection in the repository: content\authoring, for example.
Stamp-related columns
Several columns return information from a document’s custom properties.
Stamp information is read from the custom properties that are written into all documents in the Content Store. You can see some of it in System Comments if that column is displayed in Search Results. This information is generated by all actions that modify a document, such as changed status, modifications, etc. It contains information such as the action performed, the complete date and time, and the user who performed the action.
- Authored by – extracts the name of the person who promoted the document into the review cycle. This information is useful for finding out how many documents a writer is producing.
- Authored Stamp – in addition to the person who promoted the document into the review cycle, this column returns the date it was done. This lets you perform analyses on, say, how many documents are being produced in a particular month by the writers on your team.
- Modification dates – extracts all the dates when a document was modified. You can use this information to analyze the number of revisions that documents are going through in a given time period.
- Stamp – returns changes of status, the dates they were performed, and the users that performed them. Unlike Authored Stamp and Authored by, this column extracts information from documents in all cycles.