add text/datasets Chinese doc (#2598)

doc/paddle/api/paddle/text/datasets/conll05/Conll05st_cn.rst

@@ -6,59 +6,57 @@ Conll05st
 .. py:class:: paddle.text.datasets.Conll05st()
 
 
-    Implementation of `Conll05st <https://www.cs.upc.edu/~srlconll/soft.html>`_
-    test dataset.
+该类是对`Conll05st <https://www.cs.upc.edu/~srlconll/soft.html>`_
+测试数据集的实现.
 
-    Note: only support download test dataset automatically for that
-          only test dataset of Conll05st is public.
+.. note::
+    只支持自动下载公共的 Conll05st测试数据集。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        word_dict_file(str): path to word dictionary file, can be set None if
-            :attr:`download` is True. Default None
-        verb_dict_file(str): path to verb dictionary file, can be set None if
-            :attr:`download` is True. Default None
-        target_dict_file(str): path to target dictionary file, can be set None if
-            :attr:`download` is True. Default None
-        emb_file(str): path to embedding dictionary file, only used for
-            :code:`get_embedding` can be set None if :attr:`download` is
-            True. Default None
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` :attr:`word_dict_file` :attr:`verb_dict_file`
-            :attr:`target_dict_file` is not set. Default True
-
-    Returns:
-        Dataset: instance of conll05st dataset
-
-    代码示例
+    - data_file（str）- 保存数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - word_dict_file（str）- 保存词典的路径。如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - verb_dict_file（str）- 保存动词词典的路径。如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - target_dict_file（str）- 保存目标词典的路径如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - emb_file（str）- 保存词嵌入词典的文件。只有在:code:`get_embedding`能被设置为None
+    且:attr:`download` 为True时使用。
+    - download（bool）- 如果:attr:`data_file` :attr:`word_dict_file` 
+    :attr:`verb_dict_file` 和:attr:`target_dict_file` 未设置，是否下载数据集。默认为True。
+
+返回值
 :::::::::
+``Dataset``，conll05st数据集实例。
 
-        .. code-block:: python
+代码示例
+:::::::::
+
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Conll05st
+    import paddle
+    from paddle.text.datasets import Conll05st
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-                def forward(self, pred_idx, mark, label):
-                    return paddle.sum(pred_idx), paddle.sum(mark), paddle.sum(label)
+        def forward(self, pred_idx, mark, label):
+            return paddle.sum(pred_idx), paddle.sum(mark), paddle.sum(label)
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            conll05st = Conll05st()
+    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)
+    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.numpy(), mark.numpy(), label.numpy())
+        model = SimpleNet()
+        pred_idx, mark, label= model(pred_idx, mark, label)
+        print(pred_idx.numpy(), mark.numpy(), label.numpy())
 
-    
\ No newline at end of file

doc/paddle/api/paddle/text/datasets/imdb/Imdb_cn.rst

@@ -6,46 +6,45 @@ Imdb
 .. py:class:: paddle.text.datasets.Imdb()
 
 
-    Implementation of `IMDB <https://www.imdb.com/interfaces/>`_ dataset.
+该类是对`IMDB <https://www.imdb.com/interfaces/>`_ 测试数据集的实现。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train' 'test' mode. Default 'train'.
-        cutoff(int): cutoff number for building word dictionary. Default 150.
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` is not set. Default True
+    - data_file(str) - 保存压缩数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - mode(str) - 'train' 或'test' 模式。默认为'train'。
+    - cutoff(int) - 构建词典的截止大小。默认为Default 150。
+    - download(bool) - 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
 
-    Returns:
-        Dataset: instance of IMDB dataset
+返回值
+:::::::::
+``Dataset``， IMDB数据集实例。
 
-    代码示例
+代码示例
 :::::::::
 
-        .. code-block:: python
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Imdb
+    import paddle
+    from paddle.text.datasets import Imdb
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-                def forward(self, doc, label):
-                    return paddle.sum(doc), label
+        def forward(self, doc, label):
+            return paddle.sum(doc), label
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            imdb = Imdb(mode='train')
+    imdb = Imdb(mode='train')
 
-            for i in range(10):
-                doc, label = imdb[i]
-                doc = paddle.to_tensor(doc)
-                label = paddle.to_tensor(label)
+    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.numpy().shape, label.numpy().shape)
+        model = SimpleNet()
+        image, label = model(doc, label)
+        print(doc.numpy().shape, label.numpy().shape)
 
-    
\ No newline at end of file

doc/paddle/api/paddle/text/datasets/imikolov/Imikolov_cn.rst

@@ -6,48 +6,47 @@ Imikolov
 .. py:class:: paddle.text.datasets.Imikolov()
 
 
-    Implementation of imikolov dataset.
+该类是对imikolov测试数据集的实现。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`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
-            :attr:`data_file` is not set. Default True
-
-    Returns:
-        Dataset: instance of imikolov dataset
-
-    代码示例
+    - data_file（str）- 保存数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - data_type（str）- 'NGRAM'或'SEQ'。默认为'NGRAM'。
+    - window_size（int) - 'NGRAM'数据滑动窗口的大小。默认为-1。
+    - mode（str）- 'train' 'test' mode. Default 'train'.
+    - min_word_freq（int）- 构建词典的最小词频。默认为50。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
+
+返回值
 :::::::::
+``Dataset``，imikolov数据集实例。
 
-        .. code-block:: python
+代码示例
+:::::::::
+
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import Imikolov
+    import paddle
+    from paddle.text.datasets import Imikolov
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-                def forward(self, src, trg):
-                    return paddle.sum(src), paddle.sum(trg)
+        def forward(self, src, trg):
+            return paddle.sum(src), paddle.sum(trg)
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            imikolov = Imikolov(mode='train', data_type='SEQ', window_size=2)
+    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)
+    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.numpy().shape, trg.numpy().shape)
+        model = SimpleNet()
+        src, trg = model(src, trg)
+        print(src.numpy().shape, trg.numpy().shape)
 
-    
\ No newline at end of file

doc/paddle/api/paddle/text/datasets/movie_reviews/MovieReviews_cn.rst

@@ -6,45 +6,44 @@ MovieReviews
 .. py:class:: paddle.text.datasets.MovieReviews()
 
 
-    Implementation of `NLTK movie reviews <http://www.nltk.org/nltk_data/>`_ dataset.
+该类是对`NLTK movie reviews <http://www.nltk.org/nltk_data/>`_ 测试数据集的实现。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train' 'test' mode. Default 'train'.
-        download(bool): whether auto download cifar dataset if
-            :attr:`data_file` unset. Default True.
+    - data_file（str）- 保存压缩数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - mode（str）- 'train'或 'test' 模式。默认为'train'。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
 
-    Returns:
-        Dataset: instance of movie reviews dataset
+返回值
+:::::::::
+``Dataset``，NLTK movie reviews数据集实例。
 
-    代码示例
+代码示例
 :::::::::
 
-        .. code-block:: python
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import MovieReviews
+    import paddle
+    from paddle.text.datasets import MovieReviews
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-                def forward(self, word, category):
-                    return paddle.sum(word), category
+        def forward(self, word, category):
+            return paddle.sum(word), category
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            movie_reviews = MovieReviews(mode='train')
+    movie_reviews = MovieReviews(mode='train')
 
-            for i in range(10):
-                word_list, category = movie_reviews[i]
-                word_list = paddle.to_tensor(word_list)
-                category = paddle.to_tensor(category)
+    for i in range(10):
+        word_list, category = movie_reviews[i]
+        word_list = paddle.to_tensor(word_list)
+        category = paddle.to_tensor(category)
 
-                model = SimpleNet()
-                word_list, category = model(word_list, category)
-                print(word_list.numpy().shape, category.numpy())
+        model = SimpleNet()
+        word_list, category = model(word_list, category)
+        print(word_list.numpy().shape, category.numpy())
 
-    
\ No newline at end of file

doc/paddle/api/paddle/text/datasets/movielens/Movielens_cn.rst

@@ -6,48 +6,47 @@ Movielens
 .. py:class:: paddle.text.datasets.Movielens()
 
 
-    Implementation of `Movielens 1-M <https://grouplens.org/datasets/movielens/1m/>`_ dataset.
+该类是对`Movielens 1-M <https://grouplens.org/datasets/movielens/1m/>`_
+测试数据集的实现。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train' or 'test' mode. Default 'train'.
-        test_ratio(float): split ratio for test sample. Default 0.1.
-        rand_seed(int): random seed. Default 0.
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` is not set. Default True
-
-    Returns:
-        Dataset: instance of Movielens 1-M dataset
-
-    代码示例
+    - data_file（str）- 保存压缩数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - mode（str）- 'train' 或 'test' 模式。默认为'train'。
+    - test_ratio（float) - 为测试集划分的比例。默认为0.1。
+    - rand_seed（int）- 随机数种子。默认为0。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
+
+返回值
 :::::::::
+    ``Dataset``，Movielens 1-M数据集实例。
 
-        .. code-block:: python
+代码示例
+:::::::::
 
-            import paddle
-            from paddle.text.datasets import Movielens
+.. code-block:: python
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    import paddle
+    from paddle.text.datasets import Movielens
 
-                def forward(self, category, title, rating):
-                    return paddle.sum(category), paddle.sum(title), paddle.sum(rating)
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-            paddle.disable_static()
+        def forward(self, category, title, rating):
+            return paddle.sum(category), paddle.sum(title), paddle.sum(rating)
 
-            movielens = Movielens(mode='train')
+    paddle.disable_static()
 
-            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)
+    movielens = Movielens(mode='train')
 
-                model = SimpleNet()
-                category, title, rating = model(category, title, rating)
-                print(category.numpy().shape, title.numpy().shape, rating.numpy().shape)
+    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)
 
-    
\ No newline at end of file
+        model = SimpleNet()
+        category, title, rating = model(category, title, rating)
+        print(category.numpy().shape, title.numpy().shape, rating.numpy().shape)

doc/paddle/api/paddle/text/datasets/uci_housing/UCIHousing_cn.rst

@@ -6,46 +6,45 @@ UCIHousing
 .. py:class:: paddle.text.datasets.UCIHousing()
 
 
-    Implementation of `UCI housing <https://archive.ics.uci.edu/ml/datasets/Housing>`_
-    dataset
+该类是对`UCI housing <https://archive.ics.uci.edu/ml/datasets/Housing>`_
+测试数据集的实现。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train' or 'test' mode. Default 'train'.
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` is not set. Default True
+    - data_file（str）- 保存数据的路径，如果参数:attr:`download`设置为True，
+    可设置为None。默认为None。
+    - mode（str）- 'train'或'test'模式。默认为'train'。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
 
-    Returns:
-        Dataset: instance of UCI housing dataset.
+返回值
+:::::::::
+``Dataset``，UCI housing数据集实例。
 
-    代码示例
+代码示例
 :::::::::
         
-        .. code-block:: python
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import UCIHousing
+    import paddle
+    from paddle.text.datasets import UCIHousing
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-                def forward(self, feature, target):
-                    return paddle.sum(feature), target
+        def forward(self, feature, target):
+            return paddle.sum(feature), target
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            uci_housing = UCIHousing(mode='train')
+    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)
+    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())
+        model = SimpleNet()
+        feature, target = model(feature, target)
+        print(feature.numpy().shape, target.numpy())
 
-    
\ No newline at end of file

doc/paddle/api/paddle/text/datasets/wmt14/WMT14_cn.rst

@@ -6,50 +6,48 @@ WMT14
 .. py:class:: paddle.text.datasets.WMT14()
 
 
-    Implementation of `WMT14 <http://www.statmt.org/wmt14/>`_ test dataset.
-    The original WMT14 dataset is too large and a small set of data for set is
-    provided. This module will download dataset from
-    http://paddlepaddle.bj.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz
+该类是对`WMT14 <http://www.statmt.org/wmt14/>`_ 测试数据集实现。
+由于原始WMT14数据集太大，我们在这里提供了一组小数据集。该类将从
+http://paddlepaddle.bj.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz
+下载数据集。
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train', 'test' or 'gen'. Default 'train'
-        dict_size(int): word dictionary size. Default -1.
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` is not set. Default True
+    - data_file（str）- 保存数据集压缩文件的路径, 如果参数:attr:`download`设置为True，可设置为None。
+    默认为None。
+    - mode（str）- 'train', 'test' 或'gen'。默认为'train'。
+    - dict_size（int）- 词典大小。默认为-1。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
 
-    Returns:
-        Dataset: instance of WMT14 dataset
-
-    代码示例
+返回值
 :::::::::
+``Dataset``，WMT14数据集实例。
 
-        .. code-block:: python
+代码示例
+:::::::::
 
-            import paddle
-            from paddle.text.datasets import WMT14
+.. code-block:: python
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    import paddle
+    from paddle.text.datasets import WMT14
 
-                def forward(self, src_ids, trg_ids, trg_ids_next):
-                    return paddle.sum(src_ids), paddle.sum(trg_ids), paddle.sum(trg_ids_next)
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__init__()
 
-            paddle.disable_static()
+        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)
+    paddle.disable_static()
 
-            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)
+    wmt14 = WMT14(mode='train', dict_size=50)
 
-                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())
+    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)
 
-    
\ No newline at end of file
+        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())

doc/paddle/api/paddle/text/datasets/wmt16/WMT16_cn.rst

@@ -6,65 +6,64 @@ WMT16
 .. py:class:: paddle.text.datasets.WMT16()
 
 
-    Implementation of `WMT16 <http://www.statmt.org/wmt16/>`_ test dataset.
-    ACL2016 Multimodal Machine Translation. Please see this website for more
-    details: http://www.statmt.org/wmt16/multimodal-task.html#task1
+该类是对`WMT16 <http://www.statmt.org/wmt16/>`_ 测试数据集实现。
+ACL2016多模态机器翻译。有关更多详细信息，请访问此网站：
+http://www.statmt.org/wmt16/multimodal-task.html#task1
 
-    If you use the dataset created for your task, please cite the following paper:
-    Multi30K: Multilingual English-German Image Descriptions.
+如果您任务中使用了该数据集，请引用如下论文：
+Multi30K: Multilingual English-German Image Descriptions.
 
-    .. code-block:: text
+.. code-block:: text
 
-        @article{elliott-EtAl:2016:VL16,
-         author    = {{Elliott}, D. and {Frank}, S. and {Sima"an}, K. and {Specia}, L.},
-         title     = {Multi30K: Multilingual English-German Image Descriptions},
-         booktitle = {Proceedings of the 6th Workshop on Vision and Language},
-         year      = {2016},
-         pages     = {70--74},
-         year      = 2016
-        }
+    @article{elliott-EtAl:2016:VL16,
+        author    = {{Elliott}, D. and {Frank}, S. and {Sima"an}, K. and {Specia}, L.},
+        title     = {Multi30K: Multilingual English-German Image Descriptions},
+        booktitle = {Proceedings of the 6th Workshop on Vision and Language},
+        year      = {2016},
+        pages     = {70--74},
+        year      = 2016
+    }
 
-    参数
+参数
 :::::::::
-        data_file(str): path to data tar file, can be set None if
-            :attr:`download` is True. Default None
-        mode(str): 'train', 'test' or 'val'. Default 'train'
-        src_dict_size(int): word dictionary size for source language word. Default -1.
-        trg_dict_size(int): word dictionary size for target language word. Default -1.
-        lang(str): source language, 'en' or 'de'. Default 'en'.
-        download(bool): whether to download dataset automatically if
-            :attr:`data_file` is not set. Default True
-
-    Returns:
-        Dataset: instance of WMT16 dataset
-
-    代码示例
+    - data_file（str）- 保存数据集压缩文件的路径，如果参数:attr:`download`设置为True，可设置为None。
+    默认值为None。
+    - mode（str）- 'train', 'test' 或 'val'。默认为'train'。
+    - src_dict_size（int）- 源语言词典大小。默认为-1。
+    - trg_dict_size（int) - 目标语言测点大小。默认为-1。
+    - lang（str）- 源语言，'en' 或 'de'。默认为 'en'。
+    - download（bool）- 如果:attr:`data_file`未设置，是否自动下载数据集。默认为True。
+
+返回值
 :::::::::
+``Dataset``，WMT16数据集实例。
 
-        .. code-block:: python
+代码示例
+:::::::::
+
+.. code-block:: python
 
-            import paddle
-            from paddle.text.datasets import WMT16
+    import paddle
+    from paddle.text.datasets import WMT16
 
-            class SimpleNet(paddle.nn.Layer):
-                def __init__(self):
-                    super(SimpleNet, self).__init__()
+    class SimpleNet(paddle.nn.Layer):
+        def __init__(self):
+            super(SimpleNet, self).__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)
+        def forward(self, src_ids, trg_ids, trg_ids_next):
+            return paddle.sum(src_ids), paddle.sum(trg_ids), paddle.sum(trg_ids_next)
 
-            paddle.disable_static()
+    paddle.disable_static()
 
-            wmt16 = WMT16(mode='train', src_dict_size=50, trg_dict_size=50)
+    wmt16 = WMT16(mode='train', src_dict_size=50, trg_dict_size=50)
 
-            for i in range(10):
-                src_ids, trg_ids, trg_ids_next = wmt16[i]
-                src_ids = paddle.to_tensor(src_ids)
-                trg_ids = paddle.to_tensor(trg_ids)
-                trg_ids_next = paddle.to_tensor(trg_ids_next)
+    for i in range(10):
+        src_ids, trg_ids, trg_ids_next = wmt16[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())
+        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())
 
-    
\ No newline at end of file