TFDS: cut new version 1.2.0. Update documentation.

pierrot0 · copybara-github · commit dc4b79f5c4db · 2019-08-19T14:06:07.000-07:00
PiperOrigin-RevId: 264236299
diff --git a/docs/_project.yaml b/docs/_project.yaml
@@ -1,5 +1,5 @@
 name: TensorFlow Datasets
-breadcrumb_name: Datasets v1.1.0
+breadcrumb_name: Datasets v1.2.0
 home_url: /datasets/
 parent_project_metadata_path: /_project.yaml
 description: >
diff --git a/docs/catalog/_toc.yaml b/docs/catalog/_toc.yaml
@@ -116,6 +116,8 @@ toc:
     title: so2sat
   - path: /datasets/catalog/stanford_dogs
     title: stanford_dogs
+  - path: /datasets/catalog/stanford_online_products
+    title: stanford_online_products
   - path: /datasets/catalog/sun397
     title: sun397
   - path: /datasets/catalog/svhn_cropped
diff --git a/docs/catalog/aflw2k3d.md b/docs/catalog/aflw2k3d.md
@@ -31,7 +31,6 @@ to 21 points, as the original paper mentioned.
 *   Size: `83.36 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(450, 450, 3), dtype=tf.uint8),
@@ -52,11 +51,9 @@ ALL   | 2,000
 *   [http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm](http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `None`
 
 ## Citation
-
 ```
 @article{DBLP:journals/corr/ZhuLLSL15,
   author    = {Xiangyu Zhu and
diff --git a/docs/catalog/amazon_us_reviews.md b/docs/catalog/amazon_us_reviews.md
@@ -1369,7 +1369,6 @@ None computed
 *   [https://s3.amazonaws.com/amazon-reviews-pds/readme.html](https://s3.amazonaws.com/amazon-reviews-pds/readme.html)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `None`
 
 --------------------------------------------------------------------------------
diff --git a/docs/catalog/caltech101.md b/docs/catalog/caltech101.md
@@ -30,7 +30,6 @@ boxes.
 *   Size: `125.64 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(None, None, 3), dtype=tf.uint8),
diff --git a/docs/catalog/celeb_a.md b/docs/catalog/celeb_a.md
@@ -34,7 +34,6 @@ computer vision tasks: face attribute recognition, face detection, and landmark
 *   Size: `1.38 GiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'attributes': FeaturesDict({
diff --git a/docs/catalog/coil100.md b/docs/catalog/coil100.md
@@ -30,7 +30,6 @@ pose intervals of 5 degrees.This corresponds to 72 poses per object
 *   Size: `124.63 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(128, 128, 3), dtype=tf.uint8),
@@ -51,11 +50,9 @@ ALL   | 7,200
 *   [http://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php](http://www.cs.columbia.edu/CAVE/software/softlib/coil-100.php)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `(u'image', u'label')`
 
 ## Citation
-
 ```
 @article{nene1996columbia,
   title={Columbia object image library (coil-20)},
diff --git a/docs/catalog/dsprites.md b/docs/catalog/dsprites.md
@@ -64,7 +64,6 @@ ensuring that all pixel outputs were different. No noise was added.
 *   Size: `26.73 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(64, 64, 1), dtype=tf.uint8),
diff --git a/docs/catalog/gap.md b/docs/catalog/gap.md
@@ -26,7 +26,6 @@ applications.
 *   Size: `2.29 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'A': Text(shape=(), dtype=tf.string),
@@ -57,11 +56,9 @@ VALIDATION | 454
 *   [https://github.com/google-research-datasets/gap-coreference](https://github.com/google-research-datasets/gap-coreference)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `None`
 
 ## Citation
-
 ```
 @article{DBLP:journals/corr/abs-1810-05201,
   author    = {Kellie Webster and
diff --git a/docs/catalog/image_label_folder.md b/docs/catalog/image_label_folder.md
@@ -32,7 +32,6 @@ None computed
 ## Urls
 
 ## Supervised keys (for `as_supervised=True`)
-
 `(u'image', u'label')`
 
 --------------------------------------------------------------------------------
diff --git a/docs/catalog/iris.md b/docs/catalog/iris.md
@@ -30,7 +30,6 @@ separable from each other.
 *   Size: `4.44 KiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'features': Tensor(shape=(4,), dtype=tf.float32),
diff --git a/docs/catalog/moving_mnist.md b/docs/catalog/moving_mnist.md
@@ -26,7 +26,6 @@ training/validation data from the MNIST dataset.
 *   Size: `781.25 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image_sequence': Video(Image(shape=(64, 64, 1), dtype=tf.uint8)),
diff --git a/docs/catalog/overview.md b/docs/catalog/overview.md
@@ -91,6 +91,7 @@ np_datasets = tfds.as_numpy(datasets)
     *   [`smallnorb`](smallnorb.md)
     *   [`so2sat`](so2sat.md)
     *   [`stanford_dogs`](stanford_dogs.md)
+    *   [`stanford_online_products`](stanford_online_products.md)
     *   [`sun397`](sun397.md)
     *   [`svhn_cropped`](svhn_cropped.md)
     *   [`tf_flowers`](tf_flowers.md)
diff --git a/docs/catalog/rock_you.md b/docs/catalog/rock_you.md
@@ -43,7 +43,6 @@ ALL   | 14,344,391
 *   [https://wiki.skullsecurity.org/Passwords](https://wiki.skullsecurity.org/Passwords)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `None`
 
 --------------------------------------------------------------------------------
diff --git a/docs/catalog/shapes3d.md b/docs/catalog/shapes3d.md
@@ -54,7 +54,6 @@ array.
 *   Size: `255.18 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(64, 64, 3), dtype=tf.uint8),
diff --git a/docs/catalog/smallnorb.md b/docs/catalog/smallnorb.md
@@ -32,7 +32,6 @@ and 5).
 *   Size: `250.60 MiB`
 
 ## Features
-
 ```python
 FeaturesDict({
     'image': Image(shape=(96, 96, 1), dtype=tf.uint8),
diff --git a/docs/catalog/so2sat.md b/docs/catalog/so2sat.md
@@ -75,7 +75,6 @@ None computed
 *   [http://doi.org/10.14459/2018MP1454690](http://doi.org/10.14459/2018MP1454690)
 
 ## Supervised keys (for `as_supervised=True`)
-
 `None`
 
 --------------------------------------------------------------------------------
diff --git a/docs/catalog/stanford_online_products.md b/docs/catalog/stanford_online_products.md
@@ -0,0 +1,56 @@
+<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="stanford_online_products" />
+  <meta itemprop="description" content="Stanford Online Products Dataset" />
+  <meta itemprop="url" content="https://www.tensorflow.org/datasets/catalog/stanford_online_products" />
+  <meta itemprop="sameAs" content="http://cvgl.stanford.edu/projects/lifted_struct/" />
+</div>
+
+# `stanford_online_products`
+
+Stanford Online Products Dataset
+
+*   URL:
+    [http://cvgl.stanford.edu/projects/lifted_struct/](http://cvgl.stanford.edu/projects/lifted_struct/)
+*   `DatasetBuilder`:
+    [`tfds.image.stanford_online_products.StanfordOnlineProducts`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/image/stanford_online_products.py)
+*   Version: `v1.0.0`
+*   Size: `?? GiB`
+
+## Features
+
+```python
+FeaturesDict({
+    'class_id': ClassLabel(shape=(), dtype=tf.int64, num_classes=22634),
+    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
+    'super_class_id': ClassLabel(shape=(), dtype=tf.int64, num_classes=12),
+    'super_class_id/num': ClassLabel(shape=(), dtype=tf.int64, num_classes=12),
+})
+```
+
+## Statistics
+
+None computed
+
+## Urls
+
+*   [http://cvgl.stanford.edu/projects/lifted_struct/](http://cvgl.stanford.edu/projects/lifted_struct/)
+
+## Supervised keys (for `as_supervised=True`)
+
+`None`
+
+## Citation
+
+```
+@inproceedings{song2016deep,
+ author    = {Song, Hyun Oh and Xiang, Yu and Jegelka, Stefanie and Savarese, Silvio},
+ title     = {Deep Metric Learning via Lifted Structured Feature Embedding},
+ booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+ year      = {2016}
+}
+```
+
+--------------------------------------------------------------------------------
diff --git a/tensorflow_datasets/version.py b/tensorflow_datasets/version.py
@@ -17,7 +17,7 @@
 
 # We follow Semantic Versioning (https://semver.org/)
 _MAJOR_VERSION = '1'
-_MINOR_VERSION = '1'
+_MINOR_VERSION = '2'
 _PATCH_VERSION = '0'
 
 __version__ = '.'.join([
