variables: 526998

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
526998 imagenet_training_cost_usd   Top-5 accuracy measures how often any one of the system's five most probable labels (out of 1000 possible labels) matches the target label. Additional source information according to the AI Index: "DAWNBench is a benchmark suite for end-to-end deep-learning training and inference. DAWNBench provides a reference set of common deep learning workloads for quantifying training time, training cost, inference latency, and inference cost across different optimization strategies, model architectures, software frameworks, clouds, and hardware. More details available at <a href="https://dawn.cs.stanford.edu/" target=”_blank”>DAWNBench</a>. Because DAWNBench was deprecated after March 2020, data on the training cost for the most recent round of... submissions was manually collected by Deepak Narayanan." 2022-10-01 17:44:46 2023-06-15 05:05:42       5763 27031   
{
    "unit": "current US$",
    "shortUnit": "$",
    "includeInTable": true
}
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