evaluationDataset

P16906
predicate

Indicates that a dataset is used as a benchmark or test set for evaluating the performance or quality of a system, model, or method.

All labels observed (5)

Label Occurrences
dataset 14
benchmarkDataset 9
datasetUsed 8

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: evaluationDataset
Generated description
Indicates that a dataset is used as a benchmark or test set for evaluating the performance or quality of a system, model, or method.

Sample triples (40)

Subject Object
A fast learning algorithm for deep belief nets MNIST ⓘ
Gradient-based learning applied to document recognition MNIST via predicate surface "datasetUsed" ⓘ
AlexNet ImageNet via predicate surface "dataset" ⓘ
torchvision CIFAR10 via predicate surface "dataset" ⓘ
linked to: CIFAR-10
torchvision CIFAR100 via predicate surface "dataset" ⓘ
linked to: CIFAR-100
torchvision MNIST via predicate surface "dataset" ⓘ
torchvision FashionMNIST via predicate surface "dataset" ⓘ
linked to: Fashion-MNIST
torchvision ImageNet via predicate surface "dataset" ⓘ
torchvision COCO via predicate surface "dataset" ⓘ
torchvision VOCDetection via predicate surface "dataset" ⓘ
torchvision VOCSegmentation via predicate surface "dataset" ⓘ
torchvision CelebA via predicate surface "dataset" ⓘ
torchvision SVHN via predicate surface "dataset" ⓘ
PixelRNN MNIST via predicate surface "datasetUsed" ⓘ
PixelRNN CIFAR-10 via predicate surface "datasetUsed" ⓘ
PixelRNN ImageNet patches via predicate surface "datasetUsed" ⓘ
Matching Networks for One Shot Learning Omniglot via predicate surface "datasetUsed" ⓘ
Matching Networks for One Shot Learning miniImageNet via predicate surface "datasetUsed" ⓘ
CycleGAN horse2zebra dataset ⓘ
CycleGAN apple2orange dataset ⓘ
CycleGAN summer2winter_yosemite dataset ⓘ
CycleGAN photo2monet dataset ⓘ
DenseNet ImageNet via predicate surface "benchmarkDataset" ⓘ
DenseNet CIFAR-10 via predicate surface "benchmarkDataset" ⓘ
DenseNet CIFAR-100 via predicate surface "benchmarkDataset" ⓘ
DenseNet SVHN via predicate surface "benchmarkDataset" ⓘ
Attention Is All You Need WMT 2014 English-to-German translation via predicate surface "benchmarkDataset" ⓘ
Attention Is All You Need WMT 2014 English-to-French translation via predicate surface "benchmarkDataset" ⓘ
GoogLeNet ImageNet via predicate surface "dataset" ⓘ
Learning Transferable Architectures for Scalable Image Recognition CIFAR-10 via predicate surface "dataset" ⓘ
Learning Transferable Architectures for Scalable Image Recognition ImageNet via predicate surface "dataset" ⓘ
DETR COCO via predicate surface "benchmarkDataset" ⓘ
ENAS CIFAR-10 via predicate surface "benchmarkDataset" ⓘ
ENAS Penn Treebank via predicate surface "benchmarkDataset" ⓘ
Neural Machine Translation by Jointly Learning to Align and Translate English–French translation corpus via predicate surface "datasetUsed" ⓘ
Show, Attend and Tell MSCOCO ⓘ
Show, Attend and Tell Flickr8k ⓘ
Show, Attend and Tell Flickr30k ⓘ
Omniglot meta-testing via predicate surface "evaluationSetUsedFor" ⓘ
Efficient Estimation of Word Representations in Vector Space Google News corpus via predicate surface "datasetUsed" ⓘ