Uploading a dataset that doesn't fit in memory to the HF hub

🤗Datasets
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What is the recommended way to build and upload a large dataset that doesn’t fit in memory to the HF hub?

Is there any way of stringing together existing dataset builder / constructor methods and push_to_hub to do this straightforwardly?

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Feel free to use load_dataset or Dataset.from_generator to get a Dataset object from your large data source. It writes the data on disk so it can load datasets bigger than memory

Then push_to_hub() uploads file by file of 500MB each by default so that you can upload a dataset that doesn’t fit in memory as well

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Thanks for the response!

What if the dataset is also larger than the memory-mapping can handle? ( assuming this is what you mean by writing to disk in the from_generator case)

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memory mapping can handle datasets as long as they fit on your disk :wink:

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oh cool! thanks

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