LingoQA dataset for pytorch
Project description
LingoQA dataset for pytorch
How to use
from lingoqa_dataset.dataset import LingoQADataset
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
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