prodigy data-to-spacy for relation extraction

[ryanwesslen]

Thanks for your question!

@nlp_reseracher478

• Can you explain how you were able to address the issue?
• For relationship extraction, we required a named entity as well, so do we need to run data-to-spacy two time one for ner and another for re or in the single pass it can be done?

Sorry for the delay. Have you seen this post? You can modify parse_data.py from the rel_components template project.

data-to-spacy for rel_component training

Hi @korneliaB , Ok, let us step back for a bit. I realized that since you already have the labeled documents in Prodigy, you can export them into .jsonl using the db-out command, then reuse / modify this parse_data.py script to convert the JSONL files into the spaCy format. The reason why it errored out is because it expects some labels before the component is initialized. You can see this being done in the main function. So you have to do something like: python scripts.parse_data path/to/js…