nlp_architect.data.intent_datasets.SNIPS¶
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class
nlp_architect.data.intent_datasets.
SNIPS
(path, sentence_length=30, word_length=12)[source]¶ SNIPS dataset class
Parameters: -
__init__
(path, sentence_length=30, word_length=12)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(path[, sentence_length, word_length])Initialize self. Attributes
char_vocab
word character vocabulary char_vocab_size
char vocabulary size files
intent_size
intent label vocabulary size intents_vocab
intent labels vocabulary label_vocab_size
label vocabulary size tags_vocab
labels vocabulary test_files
test_set
test set train_files
train_set
train set word_vocab
tokens vocabulary word_vocab_size
vocabulary size -
files
= ['train', 'test']¶
labels vocabulary
Type: dict
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test_files
= ['AddToPlaylist/validate_AddToPlaylist.json', 'BookRestaurant/validate_BookRestaurant.json', 'GetWeather/validate_GetWeather.json', 'PlayMusic/validate_PlayMusic.json', 'RateBook/validate_RateBook.json', 'SearchCreativeWork/validate_SearchCreativeWork.json', 'SearchScreeningEvent/validate_SearchScreeningEvent.json']¶
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test_set
¶ test set
Type: tuple
ofnumpy.ndarray
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train_files
= ['AddToPlaylist/train_AddToPlaylist_full.json', 'BookRestaurant/train_BookRestaurant_full.json', 'GetWeather/train_GetWeather_full.json', 'PlayMusic/train_PlayMusic_full.json', 'RateBook/train_RateBook_full.json', 'SearchCreativeWork/train_SearchCreativeWork_full.json', 'SearchScreeningEvent/train_SearchScreeningEvent_full.json']¶
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train_set
¶ train set
Type: tuple
ofnumpy.ndarray
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