trainingSetSize
P48396
predicate
Indicates the number of examples or instances included in a dataset used to train a model or system.
All labels observed (5)
| Label | Occurrences |
|---|---|
| trainingSetSize canonical | 3 |
| datasetSize | 1 |
| hasNumberOfTrainingImages | 1 |
| hasTrainingImagesPerClass | 1 |
| numberOfTrainingExamples | 1 |
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: trainingSetSize
Generated description
Indicates the number of examples or instances included in a dataset used to train a model or system.
Sample triples (7)
| Subject | Object |
|---|---|
| MNIST | 60000 ⓘ |
| Modified National Institute of Standards and Technology database | 60000 ⓘ |
| Fashion-MNIST | 60000 via predicate surface "numberOfTrainingExamples" ⓘ |
| Very Deep Convolutional Networks for Large-Scale Image Recognition | over one million training images via predicate surface "datasetSize" ⓘ |
| CIFAR-10 | 50000 via predicate surface "hasNumberOfTrainingImages" ⓘ |
| CIFAR-10 | 5000 via predicate surface "hasTrainingImagesPerClass" ⓘ |
| SVHN | 73257 images (Format 2) ⓘ |