(cls, fields, root=".data", train="train.txt",
               validation="valid.txt",
               test="test.txt", **kwargs)
return super(Ingredients, cls).splits(
            fields=fields, root=root, train=train, validation=validation,
            test=test, **kwargs)
Downloads and loads the NYT ingredients NER data in CoNLL format
Downloads and loads the NYT ingredients NER data in CoNLL format
Downloads and loads the NYT ingredients NER data in CoNLL format
def splits(cls, fields, root=".data", train="train.txt",
               validation="valid.txt",
               test="test.txt", **kwargs):
        """Downloads and loads the NYT ingredients NER data in CoNLL format
        """

        return super(Ingredients, cls).splits(
            fields=fields, root=root, train=train, validation=validation,
            test=test, **kwargs)
def splits ( cls , fields , root = ".data" , train = "train.txt" , validation = "valid.txt" , test = "test.txt" , * * kwargs ) : return super ( Ingredients , cls ) . splits ( fields = fields , root = root , train = train , validation = validation , test = test , * * kwargs )