Compare
HumanEval Dataset vs COCO 2017
Side-by-side comparison of HumanEval Dataset (Dataset) and COCO 2017 (Dataset).
Live Data← All Comparisons
79
Composite Score
HumanEval Dataset
Dataset · OpenAI
82.5
Composite Score
COCO 2017
Dataset · Microsoft
Overall Winner
COCO 2017
HumanEval Dataset wins 0 of 6 categories · COCO 2017 wins 5 of 6 categories
Score Comparison
HumanEval DatasetvsCOCO 2017
Composite
79:82.5
Adoption
91:97
Quality
94:96
Freshness
60:65
Citations
95:98
Engagement
0:0
Details
FieldHumanEval DatasetCOCO 2017
TypeDatasetDataset
ProviderOpenAIMicrosoft
Version1.02017
Categoryai-codecomputer-vision
Pricingopen-sourcefree
LicenseMITCC-BY-4.0
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.Microsoft COCO (Common Objects in Context) 2017 provides 118K training images with 860K object instances annotated with bounding boxes, segmentation masks, keypoints, and captions across 80 object categories. It remains the primary benchmark for object detection and instance segmentation research.
Capabilities
Only HumanEval Dataset
evaluationcode-generationunit-testing
Shared
None
Only COCO 2017
object-detectioninstance-segmentationkeypoint-detectionimage-captioning
Integrations
Only HumanEval Dataset
hugging-face
Shared
None
Only COCO 2017
PyTorchTensorFlowDetectron2MMDetection
Tags
Only HumanEval Dataset
codeevaluationpythonunit-tests
Shared
benchmark
Only COCO 2017
object-detectionsegmentationkeypointscaptions
Use Cases
HumanEval Dataset
- ▸code model evaluation
- ▸research
- ▸benchmarking
COCO 2017
- ▸model training
- ▸benchmark
- ▸computer vision research
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