starcraft_video
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This data set contains videos generated from Starcraft.
Split |
Examples |
'test' |
2,000 |
'train' |
10,000 |
'validation' |
2,000 |
@article{DBLP:journals/corr/abs-1812-01717,
author = {Thomas Unterthiner and
Sjoerd van Steenkiste and
Karol Kurach and
Rapha{\"{e} }l Marinier and
Marcin Michalski and
Sylvain Gelly},
title = {Towards Accurate Generative Models of Video: {A} New Metric and
Challenges},
journal = {CoRR},
volume = {abs/1812.01717},
year = {2018},
url = {http://arxiv.org/abs/1812.01717},
archivePrefix = {arXiv},
eprint = {1812.01717},
timestamp = {Tue, 01 Jan 2019 15:01:25 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1812-01717},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
starcraft_video/brawl_64 (default config)
FeaturesDict({
'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 64, 64, 3) |
uint8 |
|
starcraft_video/brawl_128
FeaturesDict({
'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 128, 128, 3) |
uint8 |
|
starcraft_video/collect_mineral_shards_64
FeaturesDict({
'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 64, 64, 3) |
uint8 |
|
starcraft_video/collect_mineral_shards_128
FeaturesDict({
'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 128, 128, 3) |
uint8 |
|
starcraft_video/move_unit_to_border_64
FeaturesDict({
'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 64, 64, 3) |
uint8 |
|
starcraft_video/move_unit_to_border_128
FeaturesDict({
'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 128, 128, 3) |
uint8 |
|
starcraft_video/road_trip_with_medivac_64
FeaturesDict({
'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 64, 64, 3) |
uint8 |
|
starcraft_video/road_trip_with_medivac_128
FeaturesDict({
'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),
})
Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
rgb_screen |
Video(Image) |
(None, 128, 128, 3) |
uint8 |
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2023-01-13 UTC.
[null,null,["Last updated 2023-01-13 UTC."],[],[],null,["# starcraft_video\n\n\u003cbr /\u003e\n\n- **Description**:\n\nThis data set contains videos generated from Starcraft.\n\n- **Homepage** :\n \u003chttps://storage.googleapis.com/scv_dataset/README.html\u003e\n\n- **Source code** :\n [`tfds.datasets.starcraft_video.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/starcraft_video/starcraft_video_dataset_builder.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): New split API (\u003chttps://tensorflow.org/datasets/splits\u003e)\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'test'` | 2,000 |\n| `'train'` | 10,000 |\n| `'validation'` | 2,000 |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `None`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Citation**:\n\n @article{DBLP:journals/corr/abs-1812-01717,\n author = {Thomas Unterthiner and\n Sjoerd van Steenkiste and\n Karol Kurach and\n Rapha{\\\"{e} }l Marinier and\n Marcin Michalski and\n Sylvain Gelly},\n title = {Towards Accurate Generative Models of Video: {A} New Metric and\n Challenges},\n journal = {CoRR},\n volume = {abs/1812.01717},\n year = {2018},\n url = {http://arxiv.org/abs/1812.01717},\n archivePrefix = {arXiv},\n eprint = {1812.01717},\n timestamp = {Tue, 01 Jan 2019 15:01:25 +0100},\n biburl = {https://dblp.org/rec/bib/journals/corr/abs-1812-01717},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n }\n\nstarcraft_video/brawl_64 (default config)\n-----------------------------------------\n\n- **Config description**: Brawl map with 64x64 resolution.\n\n- **Download size** : `6.40 GiB`\n\n- **Dataset size** : `6.39 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|-------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 64, 64, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/brawl_128\n-------------------------\n\n- **Config description**: Brawl map with 128x128 resolution.\n\n- **Download size** : `20.76 GiB`\n\n- **Dataset size** : `20.74 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|---------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 128, 128, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/collect_mineral_shards_64\n-----------------------------------------\n\n- **Config description**: CollectMineralShards map with 64x64 resolution.\n\n- **Download size** : `7.83 GiB`\n\n- **Dataset size** : `7.82 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|-------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 64, 64, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/collect_mineral_shards_128\n------------------------------------------\n\n- **Config description**: CollectMineralShards map with 128x128 resolution.\n\n- **Download size** : `24.83 GiB`\n\n- **Dataset size** : `24.82 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|---------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 128, 128, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/move_unit_to_border_64\n--------------------------------------\n\n- **Config description**: MoveUnitToBorder map with 64x64 resolution.\n\n- **Download size** : `1.77 GiB`\n\n- **Dataset size** : `1.77 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|-------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 64, 64, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/move_unit_to_border_128\n---------------------------------------\n\n- **Config description**: MoveUnitToBorder map with 128x128 resolution.\n\n- **Download size** : `5.75 GiB`\n\n- **Dataset size** : `5.75 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|---------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 128, 128, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/road_trip_with_medivac_64\n-----------------------------------------\n\n- **Config description**: RoadTripWithMedivac map with 64x64 resolution.\n\n- **Download size** : `2.48 GiB`\n\n- **Dataset size** : `2.47 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(64, 64, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|-------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 64, 64, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nstarcraft_video/road_trip_with_medivac_128\n------------------------------------------\n\n- **Config description**: RoadTripWithMedivac map with 128x128 resolution.\n\n- **Download size** : `7.80 GiB`\n\n- **Dataset size** : `7.79 GiB`\n\n- **Feature structure**:\n\n FeaturesDict({\n 'rgb_screen': Video(Image(shape=(128, 128, 3), dtype=uint8)),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|------------|--------------|---------------------|-------|-------------|\n| | FeaturesDict | | | |\n| rgb_screen | Video(Image) | (None, 128, 128, 3) | uint8 | |\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples..."]]