torchtext — torchtext 0.4.0 documentation

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Examples — torchtext 0.4.0 documentation
Ability to describe declaratively how to load a custom NLP dataset that’s in a “normal” format: pos = data.TabularDataset( path='data/pos/pos_wsj_train.tsv', format='tsv', fields=[('text', data.Field(...
torchtext.datasets — torchtext 0.4.0 documentation
validation='multinli_1.0_dev_matched.jsonl', test='multinli_1.0_dev_mismatched.jsonl')¶ Create dataset objects for splits of the SNLI dataset. This is the most flexible way to use the dataset. Parame...
torchtext.data — torchtext 0.4.0 documentation
Defines a general datatype. Every dataset consists of one or more types of data. For instance, a text classification dataset contains sentences and their classes, while a machine translation dataset c...
torchtext.utils — torchtext 0.4.0 documentation
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torchtext.vocab — torchtext 0.4.0 documentation
Vocab( counter, max_size=None, min_freq=1, specials=['<pad>'], vectors=None, unk_init=None, vectors_cache=None, specials_first=True)¶ Defines a vocabulary object that will be used to numericalize a fi...