course/pr_1194/en/chapter10/3.md

Load your dataset to Argilla[[load-your-dataset-to-argilla]]

<CourseFloatingBanner chapter={10} classNames="absolute z-10 right-0 top-0" notebooks={[ {label: "Google Colab", value: "https://colab.research.google.com/github/huggingface/notebooks/blob/master/course/en/chapter10/section3.ipynb"}, {label: "Aws Studio", value: "https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/course/en/chapter10/section3.ipynb"}, ]} />

Depending on the NLP task that you're working with and the specific use case or application, your data and the annotation task will look differently. For this section of the course, we'll use a dataset collecting news to complete two tasks: a text classification on the topic of each text and a token classification to identify the named entities mentioned.