Automated documentation update.

PiperOrigin-RevId: 336145075

Author: TensorFlow Datasets Team

docs/catalog/_toc.yaml

@@ -2,6 +2,9 @@ toc:
 - path: /datasets/catalog/overview
   title: Overview
 - section:
+  - path: /datasets/catalog/accentdb
+    status: nightly
+    title: accentdb
   - path: /datasets/catalog/common_voice
     title: common_voice
   - path: /datasets/catalog/crema_d

docs/catalog/accentdb.md

@@ -0,0 +1,87 @@
+<div itemscope itemtype="http://schema.org/Dataset">
+  <div itemscope itemprop="includedInDataCatalog" itemtype="http://schema.org/DataCatalog">
+    <meta itemprop="name" content="TensorFlow Datasets" />
+  </div>
+
+  <meta itemprop="name" content="accentdb" />
+  <meta itemprop="description" content="AccentDB is a multi-pairwise parallel corpus of structured and labelled&#10;accented speech. It contains speech samples from speakers of 4 non-native&#10;accents of English (8 speakers, 4 Indian languages); and also has a compilation&#10;of 4 native accents of English (4 countries, 13 speakers) and a metropolitan&#10;Indian accent (2 speakers). The dataset available here corresponds to release&#10;titled accentdb_extended on https://accentdb.github.io/#dataset.&#10;&#10;To use this dataset:&#10;&#10;```python&#10;import tensorflow_datasets as tfds&#10;&#10;ds = tfds.load(&#x27;accentdb&#x27;, split=&#x27;train&#x27;)&#10;for ex in ds.take(4):&#10;  print(ex)&#10;```&#10;&#10;See [the guide](https://www.tensorflow.org/datasets/overview) for more&#10;informations on [tensorflow_datasets](https://www.tensorflow.org/datasets).&#10;&#10;" />
+  <meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/accentdb" />
+  <meta itemprop="sameAs" content="https://accentdb.github.io/" />
+  <meta itemprop="citation" content="@InProceedings{ahamad-anand-bhargava:2020:LREC,&#10;  author    = {Ahamad, Afroz  and  Anand, Ankit  and  Bhargava, Pranesh},&#10;  title     = {AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition},&#10;  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},&#10;  month          = {May},&#10;  year           = {2020},&#10;  address        = {Marseille, France},&#10;  publisher      = {European Language Resources Association},&#10;  pages     = {5353--5360},&#10;  url       = {https://www.aclweb.org/anthology/2020.lrec-1.659}&#10;}" />
+</div>
+
+# `accentdb`
+
+Note: This dataset was added recently and is only available in our
+`tfds-nightly` package
+<span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>.
+
+*   **Description**:
+
+AccentDB is a multi-pairwise parallel corpus of structured and labelled accented
+speech. It contains speech samples from speakers of 4 non-native accents of
+English (8 speakers, 4 Indian languages); and also has a compilation of 4 native
+accents of English (4 countries, 13 speakers) and a metropolitan Indian accent
+(2 speakers). The dataset available here corresponds to release titled
+accentdb_extended on https://accentdb.github.io/#dataset.
+
+*   **Homepage**: [https://accentdb.github.io/](https://accentdb.github.io/)
+
+*   **Source code**:
+    [`tfds.audio.Accentdb`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/audio/accentdb.py)
+
+*   **Versions**:
+
+    *   **`1.0.0`** (default): No release notes.
+
+*   **Download size**: `3.56 GiB`
+
+*   **Dataset size**: `19.47 GiB`
+
+*   **Auto-cached**
+    ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):
+    No
+
+*   **Splits**:
+
+Split     | Examples
+:-------- | -------:
+`'train'` | 17,313
+
+*   **Features**:
+
+```python
+FeaturesDict({
+    'audio': Audio(shape=(None,), dtype=tf.int64),
+    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=9),
+    'speaker_id': tf.string,
+})
+```
+
+*   **Supervised keys** (See
+    [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):
+    `('audio', 'label')`
+
+*   **Citation**:
+
+```
+@InProceedings{ahamad-anand-bhargava:2020:LREC,
+  author    = {Ahamad, Afroz  and  Anand, Ankit  and  Bhargava, Pranesh},
+  title     = {AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition},
+  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},
+  month          = {May},
+  year           = {2020},
+  address        = {Marseille, France},
+  publisher      = {European Language Resources Association},
+  pages     = {5353--5360},
+  url       = {https://www.aclweb.org/anthology/2020.lrec-1.659}
+}
+```
+
+*   **Figure**
+    ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):
+    Not supported.
+
+*   **Examples**
+    ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):
+    Missing.

docs/catalog/overview.md

@@ -24,6 +24,8 @@ for ex in tfds.load('cifar10', split='train'):
 
 ### `Audio`
 
+*   [`accentdb`](accentdb.md)
+    <span class="material-icons" title="Available only in the tfds-nightly package">nights_stay</span>
 *   [`common_voice`](common_voice.md)
 *   [`crema_d`](crema_d.md)
 *   [`dementiabank`](dementiabank.md)