![]() ![]() Write EX when the author provides an example. This excerpt specifies value="$csv" in the TimeSeries Object tag. Annotating a text, or marking the pages with notes, is an excellent, if not essential, way to make the. For example, the following excerpt of a time series labeling configuration. Use the data object to reference the value of the data specified by the Object tag in your labeling configuration. The JSON format for pre-annotations must match the labeling configuration used for your data labeling project. See how to add results to the predictions array. A predictions array that contains the pre-annotation results for the different types of labeling.This can be a URL to an audio file, a pre-signed cloud storage link to an image, plain text, a reference to a CSV file stored in Label Studio, or something else. The Model for Annotating a Text download includes an instructional tip sheet and annotation examples for students. A data object which references the source of the data that the pre-annotations apply to.Label Studio JSON format for pre-annotations must contain two sections: ![]() Check this common video tutorial showing how to convert a submitted annotation to a prediction: JSON format for pre-annotations The Label Studio ML backend also outputs tasks in this format. The annotations use a markdown-like syntax. Example Assignment Format: Annotating a Written Text 2, Direct quote (paragraph ), Add your comments here 3, Direct quote (paragraph ), Add your comments. The following code sample illustrates the same. Such a mapping would allow marked-up text eg wikipedia articles to be indexed as both text and structured tokens. To import predicted labels into Label Studio, you must use the Basic Label Studio JSON format and set up your tasks with the predictions JSON key. The FreeTextAnnotation instance acquires the text, page number and bounds as the parameters. You can import pre-annotated tasks into Label Studio using the UI or using the API. By annotating a text, you will ensure that you understand what is happening in a text after youve read it. To generate interactive pre-annotations with a machine learning model while labeling, see Set up machine learning with Label Studio. ![]()
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