[xdoctest][task 144-149] reformat example code with google style in `text/datasets/*` (#56579)

* [Doctest]fix No.144-149, test=docs_preview

* fix timeout

python/paddle/text/datasets/conll05.py

@@ -67,28 +67,39 @@ class Conll05st(Dataset):
 
         .. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Conll05st
-
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super().__init__()
-
-                def forward(self, pred_idx, mark, label):
-                    return paddle.sum(pred_idx), paddle.sum(mark), paddle.sum(label)
-
-
-            conll05st = Conll05st()
-
-            for i in range(10):
-                pred_idx, mark, label= conll05st[i][-3:]
-                pred_idx = paddle.to_tensor(pred_idx)
-                mark = paddle.to_tensor(mark)
-                label = paddle.to_tensor(label)
-
-                model = SimpleNet()
-                pred_idx, mark, label= model(pred_idx, mark, label)
-                print(pred_idx, mark, label)
+            >>> import paddle
+            >>> from paddle.text.datasets import Conll05st
+
+            >>> class SimpleNet(paddle.nn.Layer):
+            ...     def __init__(self):
+            ...         super().__init__()
+            ...
+            ...     def forward(self, pred_idx, mark, label):
+            ...         return paddle.sum(pred_idx), paddle.sum(mark), paddle.sum(label)
+
+
+            >>> conll05st = Conll05st()
+
+            >>> for i in range(10):
+            ...     pred_idx, mark, label= conll05st[i][-3:]
+            ...     pred_idx = paddle.to_tensor(pred_idx)
+            ...     mark = paddle.to_tensor(mark)
+            ...     label = paddle.to_tensor(label)
+            ...
+            ...     model = SimpleNet()
+            ...     pred_idx, mark, label= model(pred_idx, mark, label)
+            ...     print(pred_idx.item(), mark.item(), label.item())
+            >>> # doctest: +SKIP('label will change')
+            65840 5 1991
+            92560 5 3686
+            99120 5 457
+            121960 5 3945
+            4774 5 2378
+            14973 5 1938
+            36921 5 1090
+            26908 5 2329
+            62965 5 2968
+            97755 5 2674
 
     """
 
@@ -334,10 +345,11 @@ class Conll05st(Dataset):
 
             .. code-block:: python
 
-                from paddle.text.datasets import Conll05st
+                >>> from paddle.text.datasets import Conll05st
+
+                >>> conll05st = Conll05st()
+                >>> word_dict, predicate_dict, label_dict = conll05st.get_dict()
 
-                conll05st = Conll05st()
-                word_dict, predicate_dict, label_dict = conll05st.get_dict()
         """
         return self.word_dict, self.predicate_dict, self.label_dict
 
@@ -349,9 +361,10 @@ class Conll05st(Dataset):
 
             .. code-block:: python
 
-                from paddle.text.datasets import Conll05st
+                >>> from paddle.text.datasets import Conll05st
+
+                >>> conll05st = Conll05st()
+                >>> emb_file = conll05st.get_embedding()
 
-                conll05st = Conll05st()
-                emb_file = conll05st.get_embedding()
         """
         return self.emb_file

python/paddle/text/datasets/imdb.py

@@ -47,27 +47,38 @@ class Imdb(Dataset):
 
         .. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Imdb
-
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super().__init__()
-
-                def forward(self, doc, label):
-                    return paddle.sum(doc), label
-
-
-            imdb = Imdb(mode='train')
-
-            for i in range(10):
-                doc, label = imdb[i]
-                doc = paddle.to_tensor(doc)
-                label = paddle.to_tensor(label)
-
-                model = SimpleNet()
-                image, label = model(doc, label)
-                print(doc.shape, label.shape)
+            >>> # doctest: +TIMEOUT(75)
+            >>> import paddle
+            >>> from paddle.text.datasets import Imdb
+
+            >>> class SimpleNet(paddle.nn.Layer):
+            ...     def __init__(self):
+            ...         super().__init__()
+            ...
+            ...     def forward(self, doc, label):
+            ...         return paddle.sum(doc), label
+
+
+            >>> imdb = Imdb(mode='train')
+
+            >>> for i in range(10):
+            ...     doc, label = imdb[i]
+            ...     doc = paddle.to_tensor(doc)
+            ...     label = paddle.to_tensor(label)
+            ...
+            ...     model = SimpleNet()
+            ...     image, label = model(doc, label)
+            ...     print(doc.shape, label.shape)
+            [121] [1]
+            [115] [1]
+            [386] [1]
+            [471] [1]
+            [585] [1]
+            [206] [1]
+            [221] [1]
+            [324] [1]
+            [166] [1]
+            [598] [1]
 
     """
 

python/paddle/text/datasets/imikolov.py

@@ -47,27 +47,37 @@ class Imikolov(Dataset):
 
         .. code-block:: python
 
-            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.shape, trg.shape)
+            >>> 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
 
     """
 

python/paddle/text/datasets/movielens.py

@@ -113,28 +113,39 @@ class Movielens(Dataset):
 
         .. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Movielens
-
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super().__init__()
-
-                def forward(self, category, title, rating):
-                    return paddle.sum(category), paddle.sum(title), paddle.sum(rating)
-
-
-            movielens = Movielens(mode='train')
-
-            for i in range(10):
-                category, title, rating = movielens[i][-3:]
-                category = paddle.to_tensor(category)
-                title = paddle.to_tensor(title)
-                rating = paddle.to_tensor(rating)
-
-                model = SimpleNet()
-                category, title, rating = model(category, title, rating)
-                print(category.shape, title.shape, rating.shape)
+            >>> # doctest: +TIMEOUT(75)
+            >>> import paddle
+            >>> from paddle.text.datasets import Movielens
+
+            >>> class SimpleNet(paddle.nn.Layer):
+            ...     def __init__(self):
+            ...         super().__init__()
+            ...
+            ...     def forward(self, category, title, rating):
+            ...         return paddle.sum(category), paddle.sum(title), paddle.sum(rating)
+
+
+            >>> movielens = Movielens(mode='train')
+
+            >>> for i in range(10):
+            ...     category, title, rating = movielens[i][-3:]
+            ...     category = paddle.to_tensor(category)
+            ...     title = paddle.to_tensor(title)
+            ...     rating = paddle.to_tensor(rating)
+            ...
+            ...     model = SimpleNet()
+            ...     category, title, rating = model(category, title, rating)
+            ...     print(category.shape, title.shape, rating.shape)
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
+            [] [] []
 
     """
 

python/paddle/text/datasets/uci_housing.py

@@ -58,28 +58,38 @@ class UCIHousing(Dataset):
 
         .. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import UCIHousing
-
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super().__init__()
-
-                def forward(self, feature, target):
-                    return paddle.sum(feature), target
-
-            paddle.disable_static()
-
-            uci_housing = UCIHousing(mode='train')
-
-            for i in range(10):
-                feature, target = uci_housing[i]
-                feature = paddle.to_tensor(feature)
-                target = paddle.to_tensor(target)
-
-                model = SimpleNet()
-                feature, target = model(feature, target)
-                print(feature.numpy().shape, target.numpy())
+            >>> import paddle
+            >>> from paddle.text.datasets import UCIHousing
+
+            >>> class SimpleNet(paddle.nn.Layer):
+            ...     def __init__(self):
+            ...         super().__init__()
+            ...
+            ...     def forward(self, feature, target):
+            ...         return paddle.sum(feature), target
+
+            >>> paddle.disable_static()
+
+            >>> uci_housing = UCIHousing(mode='train')
+
+            >>> for i in range(10):
+            ...     feature, target = uci_housing[i]
+            ...     feature = paddle.to_tensor(feature)
+            ...     target = paddle.to_tensor(target)
+            ...
+            ...     model = SimpleNet()
+            ...     feature, target = model(feature, target)
+            ...     print(feature.shape, target.numpy())
+            [] [24.]
+            [] [21.6]
+            [] [34.7]
+            [] [33.4]
+            [] [36.2]
+            [] [28.7]
+            [] [22.9]
+            [] [27.1]
+            [] [16.5]
+            [] [18.9]
 
     """
 

python/paddle/text/datasets/wmt14.py

@@ -61,27 +61,37 @@ class WMT14(Dataset):
 
         .. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import WMT14
-
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super().__init__()
-
-                def forward(self, src_ids, trg_ids, trg_ids_next):
-                    return paddle.sum(src_ids), paddle.sum(trg_ids), paddle.sum(trg_ids_next)
-
-            wmt14 = WMT14(mode='train', dict_size=50)
-
-            for i in range(10):
-                src_ids, trg_ids, trg_ids_next = wmt14[i]
-                src_ids = paddle.to_tensor(src_ids)
-                trg_ids = paddle.to_tensor(trg_ids)
-                trg_ids_next = paddle.to_tensor(trg_ids_next)
-
-                model = SimpleNet()
-                src_ids, trg_ids, trg_ids_next = model(src_ids, trg_ids, trg_ids_next)
-                print(src_ids.numpy(), trg_ids.numpy(), trg_ids_next.numpy())
+            >>> import paddle
+            >>> from paddle.text.datasets import WMT14
+
+            >>> class SimpleNet(paddle.nn.Layer):
+            ...     def __init__(self):
+            ...         super().__init__()
+            ...
+            ...     def forward(self, src_ids, trg_ids, trg_ids_next):
+            ...         return paddle.sum(src_ids), paddle.sum(trg_ids), paddle.sum(trg_ids_next)
+
+            >>> wmt14 = WMT14(mode='train', dict_size=50)
+
+            >>> for i in range(10):
+            ...     src_ids, trg_ids, trg_ids_next = wmt14[i]
+            ...     src_ids = paddle.to_tensor(src_ids)
+            ...     trg_ids = paddle.to_tensor(trg_ids)
+            ...     trg_ids_next = paddle.to_tensor(trg_ids_next)
+            ...
+            ...     model = SimpleNet()
+            ...     src_ids, trg_ids, trg_ids_next = model(src_ids, trg_ids, trg_ids_next)
+            ...     print(src_ids.item(), trg_ids.item(), trg_ids_next.item())
+            91 38 39
+            123 81 82
+            556 229 230
+            182 26 27
+            447 242 243
+            116 110 111
+            403 288 289
+            258 221 222
+            136 34 35
+            281 136 137
 
     """
 
@@ -196,9 +206,10 @@ class WMT14(Dataset):
 
             .. code-block:: python
 
-                from paddle.text.datasets import WMT14
-                wmt14 = WMT14(mode='train', dict_size=50)
-                src_dict, trg_dict = wmt14.get_dict()
+                >>> from paddle.text.datasets import WMT14
+                >>> wmt14 = WMT14(mode='train', dict_size=50)
+                >>> src_dict, trg_dict = wmt14.get_dict()
+
         """
         src_dict, trg_dict = self.src_dict, self.trg_dict
         if reverse: