Imikolov¶

class paddle.text. Imikolov ( data_file=None, data_type='NGRAM', window_size=- 1, mode='train', min_word_freq=50, download=True ) [source]

Implementation of imikolov dataset.

Parameters

data_file (str) – path to data tar file, can be set None if download is True. Default None
data_type (str) – ‘NGRAM’ or ‘SEQ’. Default ‘NGRAM’.
window_size (int) – sliding window size for ‘NGRAM’ data. Default -1.
mode (str) – ‘train’ ‘test’ mode. Default ‘train’.
min_word_freq (int) – minimal word frequence for building word dictionary. Default 50.
download (bool) – whether to download dataset automatically if data_file is not set. Default True

Returns

instance of imikolov dataset

Return type

Dataset

Examples

           >>> import paddle
>>> from paddle.text.datasets import Imikolov

>>> class SimpleNet(paddle.nn.Layer):
...     def __init__(self):
...         super().__init__()
...
...     def forward(self, src, trg):
...         return paddle.sum(src), paddle.sum(trg)


>>> imikolov = Imikolov(mode='train', data_type='SEQ', window_size=2)

>>> for i in range(10):
...     src, trg = imikolov[i]
...     src = paddle.to_tensor(src)
...     trg = paddle.to_tensor(trg)
...
...     model = SimpleNet()
...     src, trg = model(src, trg)
...     print(src.item(), trg.item())
2076 2075
2076 2075
675 674
4 3
464 463
2076 2075
865 864
2076 2075
2076 2075
1793 1792

          