Automated documentation update

PiperOrigin-RevId: 295841334

Author: Conchylicultor

docs/catalog/_toc.yaml

@@ -272,6 +272,8 @@ toc:
     title: wikipedia
   - path: /datasets/catalog/xnli
     title: xnli
+  - path: /datasets/catalog/yelp_polarity_reviews
+    title: yelp_polarity_reviews
   title: Text
 - section:
   - path: /datasets/catalog/flores

docs/catalog/abstract_reasoning.md

@@ -10,49 +10,43 @@
 </div>
 # `aeslc`
 
+*   **Description**:
+
 A collection of email messages of employees in the Enron Corporation.
 
 There are two features: - email_body: email body text. - subject_line: email
 subject text.
 
-*   URL:
+*   **Homepage**:
     [https://github.com/ryanzhumich/AESLC](https://github.com/ryanzhumich/AESLC)
-*   `DatasetBuilder`:
+*   **Source code**:
     [`tfds.summarization.aeslc.Aeslc`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/summarization/aeslc.py)
-*   Version: `v1.0.0`
-*   Versions:
-
-    *   **`1.0.0`** (default):
+*   **Versions**:
+    *   **`1.0.0`** (default): No release notes.
+*   **Download size**: `11.10 MiB`
+*   **Dataset size**: `Unknown size`
+*   **Splits**:
 
-*   Download size: `11.10 MiB`
+Split        | Examples
+:----------- | -------:
+'test'       | 1,906
+'train'      | 14,436
+'validation' | 1,960
 
-*   Dataset size: `Unknown size`
+*   **Features**:
 
-## Features
 ```python
 FeaturesDict({
     'email_body': Text(shape=(), dtype=tf.string),
     'subject_line': Text(shape=(), dtype=tf.string),
 })
 ```
 
-## Statistics
-
-Split      | Examples
-:--------- | -------:
-ALL        | 18,302
-TRAIN      | 14,436
-VALIDATION | 1,960
-TEST       | 1,906
-
-## Homepage
+*   **Supervised keys** (See
+    [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load)):
+    `('email_body', 'subject_line')`
+*   **Citation**:
 
-*   [https://github.com/ryanzhumich/AESLC](https://github.com/ryanzhumich/AESLC)
-
-## Supervised keys (for `as_supervised=True`)
-`('email_body', 'subject_line')`
-
-## Citation
 ```
 @misc{zhang2019email,
     title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},
@@ -63,5 +57,3 @@ TEST       | 1,906
     primaryClass={cs.CL}
 }
 ```
-
---------------------------------------------------------------------------------

docs/catalog/aeslc.md

@@ -10,27 +10,31 @@
 </div>
 # `aflw2k3d`
 
+*   **Description**:
+
 AFLW2000-3D is a dataset of 2000 images that have been annotated with
 image-level 68-point 3D facial landmarks. This dataset is typically used for
 evaluation of 3D facial landmark detection models. The head poses are very
 diverse and often hard to be detected by a cnn-based face detector. The 2D
 landmarks are skipped in this dataset, since some of the data are not consistent
 to 21 points, as the original paper mentioned.
 
-*   URL:
+*   **Homepage**:
     [http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm](http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm)
-*   `DatasetBuilder`:
+*   **Source code**:
     [`tfds.image.aflw2k3d.Aflw2k3d`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image/aflw2k3d.py)
-*   Version: `v1.0.0`
-*   Versions:
-
-    *   **`1.0.0`** (default):
+*   **Versions**:
+    *   **`1.0.0`** (default): No release notes.
+*   **Download size**: `83.36 MiB`
+*   **Dataset size**: `Unknown size`
+*   **Splits**:
 
-*   Download size: `83.36 MiB`
+Split   | Examples
+:------ | -------:
+'train' | 2,000
 
-*   Dataset size: `Unknown size`
+*   **Features**:
 
-## Features
 ```python
 FeaturesDict({
     'image': Image(shape=(450, 450, 3), dtype=tf.uint8),
@@ -39,18 +43,11 @@ FeaturesDict({
 })
 ```
 
-## Statistics
-
-Split | Examples
-:---- | -------:
-ALL   | 2,000
-TRAIN | 2,000
+*   **Supervised keys** (See
+    [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load)):
+    `None`
+*   **Citation**:
 
-## Homepage
-
-*   [http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm](http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm)
-
-## Citation
 ```
 @article{DBLP:journals/corr/ZhuLLSL15,
   author    = {Xiangyu Zhu and
@@ -70,5 +67,3 @@ TRAIN | 2,000
   bibsource = {dblp computer science bibliography, https://dblp.org}
 }
 ```
-
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