variables: 820641

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
820641 Training dataset size datapoints   2024-02-15 16:16:43 2024-07-08 16:09:53     2019-2023 6385     
{
    "unit": "datapoints",
    "numDecimalPlaces": 0
}
 0     dataset_size__tokens grapher/artificial_intelligence/2024-02-15/epoch_llms/epoch_llms#dataset_size__tokens   2 minor               
[
    "Training data size refers to the amount or quantity of data that is used to train an AI model, indicating the number of examples or instances available for the model to learn from.",
    "Imagine you're teaching a computer to recognize different types of fruits. The training data size would refer to the number of fruit images you show to the computer during the training process. If you show it 100 images of various fruits, then the training data size would be 100. The more training data you provide, the better the computer can learn to identify different fruits accurately.",
    "The size of the datasets used to train Gemini Ultra, PaLM-2, GPT-4, GPT-3.5 and code-davinci-002 models are speculative and have not been officially disclosed."
]
         int 
[]
 1824375b7745ec689ba0ced8672e90d5 1256271d3d9843a10be4ce95a17745d6

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