LingoQA dataset for pytorch
How to use
from lingoqa_dataset.lingoqa_dataset import LingoQADataset, DatasetType
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
dataset = LingoQADataset(
DatasetType.EVALUATION, transforms=transforms.Resize((256, 512))
)
dataloader = DataLoader(dataset=dataset, batch_size=3, shuffle=True)
for data, question, answer in dataloader:
pass
data
- type: torch.Tensor
- size : torch.Size([batch_size, 3 * number_of_images, height, width])
- description : Images in the target sequences.
question
- type: torch.Tuple(str)
- size: batch_size
- description : Questions in the batch.
answer
- type: torch.Tuple(str)
- size: batch_size
- description : Answers in the batch.
Special thanks
1 maintainer
Metadata
1 maintainer
Release files for lingoqa-dataset 0.2.0
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| lingoqa_dataset-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for lingoqa_dataset-0.2.0-py3-none-any.whl |
Total release size: 6.8 kB
Release files / lingoqa_dataset-0.2.0.tar.gz
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Release files / lingoqa_dataset-0.2.0-py3-none-any.whl
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