I want to train for the label INGREDIENT using the insult-classifier example. I have defined a ingredients_seed.txt, and made a terminology list using terms.teach and the en_core_web_lg model. The resulting dataset in the SQL-database is ingredients_seeds. The next step I did was
- python3 -m prodigy dataset food “all the ingredients I need for food”
- python3 -m prodigy textcat.teach ingredients en_core_web_lg RC_2015-12.bz2 --loader reddit --label INGREDIENT --seeds ingredients_seeds
This gives me “Oops, something went wrong” The dump in the shell is “prodigy textcat.teach: error: unrecognized arguments: --seeds ingredients_seed”. Dropping the “–seeds ingredients_seed” does not help
Where is my mistake/how do I solve this?