Short description
CLEVR is a Visual Question Answering dataset but the questions are missing, so user needs to jump through a bunch of hoops to download and parse them
Environment information
- Operating System: linux
- Python version: 3.6.8
tensorflow-datasets/tfds-nightly version: 1.1
tensorflow/tensorflow-gpu/tf-nightly/tf-nightly-gpu version: gpu 2b1
Reproduction instructions
ds_test, ds_train, ds_validation = tfds.load(name="clevr", split=['test', 'train', 'validation'])
for element in ds_train:
tf.print(element)
Link to logs
[[115 114 114]
[117 116 114]
[115 114 113]
...
[156 153 147]
[156 153 147]
[156 153 148]]],
'objects': {'3d_coords': [[0.438755214 -2.79463482 0.7]
[2.59563708 1.5761956 0.35]
[-2.9369 2.04038 0.35]
...
[2.28646755 2.97107983 0.7]
[-1.16437554 2.7382021 0.7]
[2.27009153 0.293746442 0.7]],
'color': [1 6 0 ... 3 2 2],
'material': [0 0 1 ... 0 0 0],
'pixel_coords': [[141 187 9.35730934]
[383 166 10.7077045]
Expected behavior
i expected a visual question answering dataset to have questions to answer
Additional context
Short description
CLEVR is a Visual Question Answering dataset but the questions are missing, so user needs to jump through a bunch of hoops to download and parse them
Environment information
tensorflow-datasets/tfds-nightlyversion: 1.1tensorflow/tensorflow-gpu/tf-nightly/tf-nightly-gpuversion: gpu 2b1Reproduction instructions
Link to logs
Expected behavior
i expected a visual question answering dataset to have questions to answer
Additional context