Compare
HumanEval Dataset vs ImageNet-1K
Side-by-side comparison of HumanEval Dataset (Dataset) and ImageNet-1K (Dataset).
Live Data← All Comparisons
79
Composite Score
HumanEval Dataset
Dataset · OpenAI
83.3
Composite Score
ImageNet-1K
Dataset · ImageNet / Stanford Vision Lab
Overall Winner
ImageNet-1K
HumanEval Dataset wins 0 of 6 categories · ImageNet-1K wins 4 of 6 categories
Score Comparison
HumanEval DatasetvsImageNet-1K
Composite
79:83.3
Adoption
91:99
Quality
94:95
Freshness
60:60
Citations
95:99
Engagement
0:0
Details
FieldHumanEval DatasetImageNet-1K
TypeDatasetDataset
ProviderOpenAIImageNet / Stanford Vision Lab
Version1.02012
Categoryai-codecomputer-vision
Pricingopen-sourcefree
LicenseMITCustom (research use)
DescriptionA curated set of 164 handwritten Python programming problems released by OpenAI, each consisting of a function signature, docstring, reference solution, and unit tests. HumanEval introduced the pass@k metric for functional code correctness evaluation and has become the de facto standard benchmark reported in virtually every code generation model paper.The canonical large-scale visual recognition benchmark containing 1.28 million training images across 1,000 object categories. ImageNet-1K underpins the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) and has driven the majority of deep learning breakthroughs in computer vision since 2012.
Capabilities
Only HumanEval Dataset
evaluationcode-generationunit-testing
Shared
None
Only ImageNet-1K
image-classificationtransfer-learningbenchmark-evaluation
Integrations
Only HumanEval Dataset
hugging-face
Shared
None
Only ImageNet-1K
PyTorchTensorFlowHuggingFace Datasets
Tags
Only HumanEval Dataset
codeevaluationpythonunit-tests
Shared
benchmark
Only ImageNet-1K
image-classificationobject-recognitiondeep-learningsupervised
Use Cases
HumanEval Dataset
- ▸code model evaluation
- ▸research
- ▸benchmarking
ImageNet-1K
- ▸model training
- ▸benchmark
- ▸transfer learning
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