standardize dataset naming conventions
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module: datasets
- Dominant language
- Python
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Description
Please standardize at least the naming convention for all datasets when using DataLoader so that data are in loader.dataset.data and labels in loader.dataset.targets.
MWE:
loader_cifar = torch.utils.DataLoader("CIFAR10")
loader_cifar.dataset.data <-- contains the data
loader_cifar.dataset.targets <-- contains targets
loader_svhn = torch.utils.DataLoader("SVHN")
loader_svhn.dataset.data <-- contains the data
loader_svhn.dataset.labels <-- contains targets
This can be really confusing and error prone when developing code to run on multiple datasets.
cc @pmeier
Contributor guide
First steps
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- Open a pull request that references the issue number.
Research direction
Start by locating the dataset implementations used with torch.utils.DataLoader and inventory whether they expose data with targets or labels. Standardize the dataset attributes so data uses data and labels use targets, then verify the affected datasets and their existing tests consistently use the new names.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, data
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100