Automated documentation update

PiperOrigin-RevId: 282874980

Author: Conchylicultor

docs/catalog/billsum.md

@@ -21,12 +21,12 @@ summary.
     [https://github.com/FiscalNote/BillSum](https://github.com/FiscalNote/BillSum)
 *   `DatasetBuilder`:
     [`tfds.summarization.billsum.Billsum`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/summarization/billsum.py)
-*   Version: `v1.0.0`
+*   Version: `v2.0.0`
 *   Versions:
 
-    *   **`1.0.0`** (default):
+    *   **`2.0.0`** (default):
 
-*   Size: `390.52 MiB`
+*   Size: `65.79 MiB`
 
 ## Features
 ```python
@@ -41,9 +41,9 @@ FeaturesDict({
 
 Split   | Examples
 :------ | -------:
-ALL     | 34,659
-TRAIN   | 28,408
-TEST    | 5,014
+ALL     | 24,116
+TRAIN   | 19,447
+TEST    | 3,432
 CA_TEST | 1,237
 
 ## Homepage

docs/catalog/cars196.md

@@ -24,10 +24,9 @@ Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe.
 
     *   **`2.0.0`** (default):
 
-*   Size: `?? GiB`
+*   Size: `1.82 GiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
@@ -38,7 +37,11 @@ FeaturesDict({
 
 ## Statistics
 
-None computed
+Split | Examples
+:---- | -------:
+ALL   | 16,185
+TRAIN | 8,144
+TEST  | 8,041
 
 ## Homepage
 

docs/catalog/cnn_dailymail.md

@@ -25,30 +25,26 @@ each highlight, which is the target summary
 `tfds.summarization.cnn_dailymail.CnnDailymailConfig` and has the following
 configurations predefined (defaults to the first one):
 
-*   `plain_text` (`v0.0.2`) (`Size: 558.32 MiB`): Plain text
+*   `plain_text` (`v2.0.0`) (`Size: ?? GiB`): Plain text
 
-*   `bytes` (`v0.0.2`) (`Size: 558.32 MiB`): Uses byte-level text encoding with
+*   `bytes` (`v2.0.0`) (`Size: ?? GiB`): Uses byte-level text encoding with
     `tfds.features.text.ByteTextEncoder`
 
-*   `subwords32k` (`v0.0.2`) (`Size: 558.32 MiB`): Uses
+*   `subwords32k` (`v2.0.0`) (`Size: ?? GiB`): Uses
     `tfds.features.text.SubwordTextEncoder` with 32k vocab size
 
 ## `cnn_dailymail/plain_text`
 Plain text
 
 Versions:
 
-*   **`0.0.2`** (default):
+*   **`2.0.0`** (default): Separate target sentences with newline.
+*   `0.0.2`: None
 *   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
-Split      | Examples
-:--------- | -------:
-ALL        | 311,971
-TRAIN      | 287,113
-VALIDATION | 13,368
-TEST       | 11,490
+None computed
 
 ### Features
 ```python
@@ -70,17 +66,13 @@ Uses byte-level text encoding with `tfds.features.text.ByteTextEncoder`
 
 Versions:
 
-*   **`0.0.2`** (default):
+*   **`2.0.0`** (default): Separate target sentences with newline.
+*   `0.0.2`: None
 *   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
-Split      | Examples
-:--------- | -------:
-ALL        | 311,971
-TRAIN      | 287,113
-VALIDATION | 13,368
-TEST       | 11,490
+None computed
 
 ### Features
 ```python
@@ -102,23 +94,20 @@ Uses `tfds.features.text.SubwordTextEncoder` with 32k vocab size
 
 Versions:
 
-*   **`0.0.2`** (default):
+*   **`2.0.0`** (default): Separate target sentences with newline.
+*   `0.0.2`: None
 *   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
-Split      | Examples
-:--------- | -------:
-ALL        | 311,971
-TRAIN      | 287,113
-VALIDATION | 13,368
-TEST       | 11,490
+None computed
 
 ### Features
+
 ```python
 FeaturesDict({
-    'article': Text(shape=(None,), dtype=tf.int64, encoder=<SubwordTextEncoder vocab_size=32915>),
-    'highlights': Text(shape=(None,), dtype=tf.int64, encoder=<SubwordTextEncoder vocab_size=32915>),
+    'article': Text(shape=(None,), dtype=tf.int64),
+    'highlights': Text(shape=(None,), dtype=tf.int64),
 })
 ```
 

docs/catalog/esnli.md

@@ -22,7 +22,7 @@ relations.
 `esnli` is configured with `tfds.core.dataset_builder.BuilderConfig` and has the
 following configurations predefined (defaults to the first one):
 
-*   `plain_text` (`v0.0.2`) (`Size: ?? GiB`): Plain text import of e-SNLI
+*   `plain_text` (`v0.0.2`) (`Size: 195.04 MiB`): Plain text import of e-SNLI
 
 ## `esnli/plain_text`
 Plain text import of e-SNLI
@@ -33,10 +33,14 @@ Versions:
 
 ### Statistics
 
-None computed
+Split      | Examples
+:--------- | -------:
+ALL        | 569,033
+TRAIN      | 549,367
+VALIDATION | 9,842
+TEST       | 9,824
 
 ### Features
-
 ```python
 FeaturesDict({
     'explanation_1': Text(shape=(), dtype=tf.string),