torch.utils.data.DataLoader
E1300996
UNEXPLORED
torch.utils.data.DataLoader is a PyTorch utility class that efficiently loads data from a dataset in mini-batches, with support for shuffling, parallel loading, and other data pipeline features.
All labels observed (1)
| Label | Occurrences |
|---|---|
| torch.utils.data.DataLoader canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T18016646 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: torch.utils.data.DataLoader Context triple: [torch.utils.data.Dataset, usedWith, torch.utils.data.DataLoader]
-
A.
torch.utils.data.Dataset
`torch.utils.data.Dataset` is a core PyTorch abstraction that defines the interface for custom data loading, enabling indexed access to samples and integration with data loaders for efficient batching and shuffling.
-
B.
tf.data API
The tf.data API is a TensorFlow library for building efficient, scalable input pipelines that load, preprocess, and feed data into machine learning models.
-
C.
TensorFlow Datasets
TensorFlow Datasets is a collection of ready-to-use, standardized datasets for machine learning and deep learning workflows in TensorFlow and other frameworks.
-
D.
torchvision (ecosystem)
torchvision is a PyTorch-based computer vision library providing datasets, model architectures, and image transformations commonly used for training and evaluating deep learning models.
-
E.
PyTorch
PyTorch is an open-source deep learning framework widely used for building and training neural networks, known for its dynamic computation graph and strong support for research and production in Python.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: torch.utils.data.DataLoader Target entity description: torch.utils.data.DataLoader is a PyTorch utility class that efficiently loads data from a dataset in mini-batches, with support for shuffling, parallel loading, and other data pipeline features.
-
A.
torch.utils.data.Dataset
`torch.utils.data.Dataset` is a core PyTorch abstraction that defines the interface for custom data loading, enabling indexed access to samples and integration with data loaders for efficient batching and shuffling.
-
B.
tf.data API
The tf.data API is a TensorFlow library for building efficient, scalable input pipelines that load, preprocess, and feed data into machine learning models.
-
C.
TensorFlow Datasets
TensorFlow Datasets is a collection of ready-to-use, standardized datasets for machine learning and deep learning workflows in TensorFlow and other frameworks.
-
D.
torchvision (ecosystem)
torchvision is a PyTorch-based computer vision library providing datasets, model architectures, and image transformations commonly used for training and evaluating deep learning models.
-
E.
PyTorch
PyTorch is an open-source deep learning framework widely used for building and training neural networks, known for its dynamic computation graph and strong support for research and production in Python.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.