Enabling, disabling, updating and creating general fields

Se requieren permisos de usuario: 'Ver fuentes' Y 'Modificar conjuntos de datos' O 'Administrador de conjuntos de datos'.

Note: You have a default quota of 25 general fields per dataset. If you need more than 25 general fields, request a quota increase via the Account team.

Enabling general fields on a new dataset

To enable general fields on a new dataset that you want to create, you simply need to select them during the setup process.

Click the + button in the box shown below and you will be presented with a drop-down menu of all of the general fields that you are able to enable for that dataset. Simply click all of the general fields you want to enable before creating the dataset. If you add any in error, you can click the ‘X’ icon next to the general field name to remove it.

Para obtener más información sobre cómo crear un nuevo conjunto de datos, consulta aquí.

Crear nuevo conjunto de datos modal

Enabling, updating, and disabling general fields on an existing dataset

If you want to enable, update or disable general fields for an existing dataset, you can do so from the settings tab on the top navigation bar, and then selecting the Labels and extraction fields tab.

Settings > Labels and extraction fields tab

Enabling general fields:

To enable existing general fields, click inside the General Fields box, and select the general fields you want to enable from the drop down menu. Once you're happy with your selections, select Update General Fields (as shown below).

These general fields will have their settings pre-selected for you. You can then update them, including making them trainable, as shown below.

General fields tab

Updating general fields:

To update an enabled general field, click the general field in the general field box as shown in the above images and the 'Edit general field' modal (below) will appear.

Here you can update the base general field, the title of the general field and the API name (these concepts are described in detail below), as well as making the general field 'trainable'.

If you have previously reviewed general fields for a general field kind that was not set to 'trainable', this information is still stored.

Edit general field modal

Disabling general fields:

To remove any selected general fields, simply click the 'X' icon next to the general field name, and then click Update General Fields.

Nota:

If you remove a general field and click Update General Fields, this will also remove the training data for that general field for this dataset. If you chose to re-enable the general field, you will need to train it again.

If you make a mistake while updating the general fields, click 'Reset' before you click Update General fields and your changes will not be applied.

Creating new general fields

The above sections covered how to enable and update existing pre-trained general fields for both new and existing datasets. In each instance, for either a new or existing dataset, you can also create new general fields.

Newly created general fields can be based on an existing pre-trained general field or can be trained from scratch (like a new label).

You can do this by clicking the '+' icon in the general field box, either in the 'Create dataset' flow or in the dataset settings page (as shown above).

This will bring up the 'Add a new general field' modal as shown below.

Here you can set the field types, title, and API name, as well as selecting whether the general field is trainable or not (these can be updated later as shown above).

Cuando hayas rellenado cada uno de los campos (se explica a continuación), haz clic en "Crear ".

Create new general field modal

Field types

• This will serve as the initial state for your new general field, and the dropdown will contain a list of all the pre-trained general fields available to you
  • For example, if you select 'Date' as your base general field, all of the general fields predicted for this kind will be dates, and you could then train the platform to only recognise specific dates

• If you want to train a general field entirely from scratch, you can select 'None - Train from scratch', and then you essentially start with a blank canvas when training the general field. The platform's predictions for this general field will be entirely based on the training examples you provide

General field title

• The general field title is the name of the general field that will appear in the UI of the platform

NombreDeAPI

• The API name of the general field is what will be returned via the API when it provides predictions for messages
• El nombre de la API no puede contener espacios ni signos de puntuación, excepto guiones (-) y guiones bajos (_).