How to prepare data for Named Entity Recognition with BIO annotation?
If your data always looks like this, there is little reason to use sequence labeling: every token belongs to an entity, so it's just a matter of correctly separating the entities and classifying them. But since the entities are already separated by line breaks, there's no need to train a model to separate them. So in the end you just have to classify the entities by category, and this doesn't require sequence labeling. But even for that, from your example it looks like the skills vs. education entities are already separated, so in the end I'm not sure what you want the model to learn?