Compare
GSM8K Dataset vs COCO 2017
Side-by-side comparison of GSM8K Dataset (Dataset) and COCO 2017 (Dataset).
Live Data← All Comparisons
79.8
Composite Score
GSM8K Dataset
Dataset · OpenAI
82.5
Composite Score
COCO 2017
Dataset · Microsoft
Overall Winner
COCO 2017
GSM8K Dataset wins 1 of 6 categories · COCO 2017 wins 4 of 6 categories
Score Comparison
GSM8K DatasetvsCOCO 2017
Composite
79.8:82.5
Adoption
94:97
Quality
91:96
Freshness
74:65
Citations
96:98
Engagement
0:0
Details
FieldGSM8K DatasetCOCO 2017
TypeDatasetDataset
ProviderOpenAIMicrosoft
Version1.02017
Categorybenchmarkscomputer-vision
Pricingopen-sourcefree
LicenseMITCC-BY-4.0
DescriptionGrade School Math 8K is a dataset of 8,500 high-quality linguistically diverse grade school math word problems requiring 2-8 step reasoning. Created by OpenAI, GSM8K is widely used for evaluating multi-step arithmetic reasoning and the effectiveness of chain-of-thought prompting.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 GSM8K Dataset
math-evaluationreasoning-benchmarkchain-of-thought
Shared
None
Only COCO 2017
object-detectioninstance-segmentationkeypoint-detectionimage-captioning
Integrations
Only GSM8K Dataset
huggingface-datasetslm-eval-harness
Shared
None
Only COCO 2017
PyTorchTensorFlowDetectron2MMDetection
Tags
Only GSM8K Dataset
mathgrade-schoolword-problemschain-of-thought
Shared
benchmark
Only COCO 2017
object-detectionsegmentationkeypointscaptions
Use Cases
GSM8K Dataset
- ▸model evaluation
- ▸math reasoning
- ▸chain of thought research
COCO 2017
- ▸model training
- ▸benchmark
- ▸computer vision research
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