Automated documentation update

PiperOrigin-RevId: 282649727

Author: Conchylicultor

docs/catalog/c4.md

@@ -26,16 +26,16 @@ https://www.tensorflow.org/datasets/beam_datasets.
 `c4` is configured with `tfds.text.c4.C4Config` and has the following
 configurations predefined (defaults to the first one):
 
-*   `en` (`v1.1.0`) (`Size: ?? GiB`): English C4 dataset.
+*   `en` (`v1.1.0`) (`Size: 6.96 TiB`): English C4 dataset.
 
-*   `en.noclean` (`v1.1.0`) (`Size: ?? GiB`): Disables all cleaning
+*   `en.noclean` (`v1.1.0`) (`Size: 6.96 TiB`): Disables all cleaning
     (deduplication, removal based on bad words, etc.)
 
-*   `en.realnewslike` (`v1.1.0`) (`Size: ?? GiB`): Filters from the default
+*   `en.realnewslike` (`v1.1.0`) (`Size: 6.96 TiB`): Filters from the default
     config to only include content from the domains used in the 'RealNews'
     dataset (Zellers et al., 2019).
 
-*   `en.webtextlike` (`v1.1.0`) (`Size: ?? GiB`): Filters from the default
+*   `en.webtextlike` (`v1.1.0`) (`Size: 6.96 TiB`): Filters from the default
     config to only include content from the URLs in OpenWebText
     (https://github.com/jcpeterson/openwebtext).
 

docs/catalog/cars196.md

@@ -19,29 +19,26 @@ Model, Year, e.g. 2012 Tesla Model S or 2012 BMW M3 coupe.
     [https://ai.stanford.edu/~jkrause/cars/car_dataset.html](https://ai.stanford.edu/~jkrause/cars/car_dataset.html)
 *   `DatasetBuilder`:
     [`tfds.image.cars196.Cars196`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image/cars196.py)
-*   Version: `v1.0.0`
+*   Version: `v2.0.0`
 *   Versions:
 
-    *   **`1.0.0`** (default):
+    *   **`2.0.0`** (default):
 
-*   Size: `1.82 GiB`
+*   Size: `?? GiB`
 
 ## Features
+
 ```python
 FeaturesDict({
     'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
     'image': Image(shape=(None, None, 3), dtype=tf.uint8),
-    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=197),
+    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=196),
 })
 ```
 
 ## Statistics
 
-Split | Examples
-:---- | -------:
-ALL   | 16,185
-TRAIN | 8,144
-TEST  | 8,041
+None computed
 
 ## Homepage
 

docs/catalog/deep_weeds.md

@@ -21,12 +21,12 @@ Range", "Kelso", "McKinlay" and "Paluma".
     [https://github.com/AlexOlsen/DeepWeeds](https://github.com/AlexOlsen/DeepWeeds)
 *   `DatasetBuilder`:
     [`tfds.image.deep_weeds.DeepWeeds`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image/deep_weeds.py)
-*   Version: `v1.0.0`
+*   Version: `v2.0.0`
 *   Versions:
 
-    *   **`1.0.0`** (default):
+    *   **`2.0.0`** (default):
 
-*   Size: `891.95 MiB`
+*   Size: `892.52 MiB`
 
 ## Features
 ```python

docs/catalog/esnli.md

@@ -22,28 +22,26 @@ relations.
 `esnli` is configured with `tfds.core.dataset_builder.BuilderConfig` and has the
 following configurations predefined (defaults to the first one):
 
-*   `plain_text` (`v0.0.1`) (`Size: 195.04 MiB`): Plain text import of e-SNLI
+*   `plain_text` (`v0.0.2`) (`Size: ?? GiB`): Plain text import of e-SNLI
 
 ## `esnli/plain_text`
 Plain text import of e-SNLI
 
 Versions:
 
-*   **`0.0.1`** (default):
+*   **`0.0.2`** (default):
 
 ### Statistics
 
-Split      | Examples
-:--------- | -------:
-ALL        | 569,033
-TRAIN      | 549,367
-VALIDATION | 9,842
-TEST       | 9,824
+None computed
 
 ### Features
+
 ```python
 FeaturesDict({
-    'explanation': Text(shape=(), dtype=tf.string),
+    'explanation_1': Text(shape=(), dtype=tf.string),
+    'explanation_2': Text(shape=(), dtype=tf.string),
+    'explanation_3': Text(shape=(), dtype=tf.string),
     'hypothesis': Text(shape=(), dtype=tf.string),
     'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=3),
     'premise': Text(shape=(), dtype=tf.string),

docs/catalog/math_dataset.md

@@ -49,6 +49,7 @@ Brawl map with 64x64 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -76,6 +77,7 @@ Brawl map with 128x128 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -103,6 +105,7 @@ CollectMineralShards map with 64x64 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -130,6 +133,7 @@ CollectMineralShards map with 128x128 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -157,6 +161,7 @@ MoveUnitToBorder map with 64x64 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -184,6 +189,7 @@ MoveUnitToBorder map with 128x128 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -211,6 +217,7 @@ RoadTripWithMedivac map with 64x64 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics
 
@@ -238,6 +245,7 @@ RoadTripWithMedivac map with 128x128 resolution.
 Versions:
 
 *   **`0.1.2`** (default):
+*   `1.0.0`: New split API (https://tensorflow.org/datasets/splits)
 
 ### Statistics