Your documents are stored in folders. Folders are paginated and you can move to the next or previous page using the navigation menu.
The folder tree is expanded by default.
Document List View
In tagtog, documents are listed based on a search query. For example, listing the documents of a folder or listing all the documents that contain a specific entity. You can use these lists for batch processing, for example, to remove or download documents matching a search.
Use folders to organize your documents better. The root is the
pool folder, which is created by default with each new project. Folders are sorted alphabetically.
Create a new folder
Click on the folder you want to be the parent of the new folder. Click on the folder action
Add new, write the name of the new folder and press the key ↵.
Rename a folder
Click on the folder you want to rename. Click on the folder action
Rename, write the new name of the new folder and press the key ↵.
Remove a folder
Click on the folder you want to remove. Click on the folder action
Remove. Please remember that all the documents stored in this folder will be also removed.
To upload content, please select the folder you want to upload content to, and click on . Once clicked, a modal menu is displayed.
The different input types accepted are described here: Input types
Upload pre-annotated documents
If you have pre-annotated documents, you can upload them directly to tagtog. You will need these two files:
The file with the text content. The file type should be one of our supported input types.
The file with the annotations. Currently, the only supported format for pre-annotated content is the
Please remember to name both files the same, except for the extension. For example:
mydoc.ann.json. You can upload multiple pre-annotated documents in a single request. For example, 5 text files and 5 annotation files.
Please check the API for more options as replacing existing annotations.
Upload files with predefined document labels
If you have document labels defined in your project, you can pre-annotate these labels for the document you want to upload. This is very handy if you have metadata (e.g. time stamp, type of document, industry, severity, etc.) available you want to have readily available for your annotators or your ML model.
For example, let's say your model uses Webhooks to generate predictions once a document is uploaded. If the user has pre-annotated this document before, your model has valuable information to generate these predictions based on the pre-annotations. Language can significantly vary between departments, contexts, industries, time, etc., therefore you have an opportunity here to pick this info and to generate better predictions accordingly.
If there are Requirements set for the document labels, these conditions should be met upon content upload.
Define a name
Input types such as plain text, don't have a name associated. In this case, or for regular files, you might want to define your own name for the document. Here you can define a name. The extension attached for plain text is
.txt, for files, their original extension.
Auto to let tagtog decide which is the best format (default formats).
If you want to force tagtog to represent the content using a specific format, you can select it here. For example, you can import plain text and set the format as
formatted to clean and format the input.
Distribute to a group of users
If Task Distribution is enabled, you can select to which users you want to assign the documents to import. If one or more users are selected, the automatic task distribution settings are override for this import request.
The list of selectable users matches the list of members specified in the Task Distribution settings.
Remove a document
You can remove a document on the web editor view or in the document list view by clicking on the remove button .
Manually confirmed documents
In the document list view, each document has a check mark, when it is green, it means the document is confirmed.
Manually confirmed documents are those with the
master version confirmed. Depending on the project, it can also mean that the annotations have been reviewed by a human, and they can be used as ground truth.
To confirm documents is helpful to keep the progress of the annotation tasks. If task distribution is active, a number will appear together with the confirm check mark. This number indicates the number of users that have confirmed their version of the annotations. When you hover with your mouse, the list of users who confirmed their version will show up.
When you import the settings of a project into another project, the content (the documents and their annotations) is not imported.
If you want to export documents from one project and import them into another project, you should follow the next steps in the GUI or API.
One by one
Download the original document + the annotations and import them into the new project. The caveat of this method is that, from the GUI, you can only import annotations in the
1Download the original document. Open the document. In the toolbar, select the option to download the
3Import the original document and the annotations. Go to the new project, select the folder where you want to import the pre-annotated document and upload both files (original document + annotations) using the content panel. You can also import multiple pairs of original document + annotations.
Download as a ZIP
Download all your content (plain.html + annotations) at once or download a filtered subset.
If you want to download only a subset of documents and annotations, you can use search queries to filter your documents.
1Download a ZIP file. Download all your content or a filtered list. Please take into consideration that the original document is not stored in the ZIP file, but only its HTML representation (plain.html).
2Import the original documents and the annotations. Go to the new project, select the folder where you want to import the pre-annotated documents and upload pairs of files (original document or plain.html + annotations) using the content panel.
Download the original document and the annotations and import them into the new project.
1Download the the original documents. Use a document id to download the original file: Examples: get the original document by document id, or iterate over a the API result of a search query: Examples: search using search queries. For example, you can use the wildcard
* to obtain all the document ids of a project.
2Download the annotations. Use the document id to download the annotations. The same document has multiple annotation versions. You can download the
master version: Examples: get the annotations of a document by document id, or you can download the version from a project member: Examples: get the member's annotations of a document by document id
3Import the original documents and the annotations. You can upload in the same request multiple pairs of original document + annotations: Examples: import a list of pre-annotated files.