Information about a dataset. DatasetInfo documents datasets, including its name, version, and features. See the constructor arguments and properties for a full ...
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A copy of the dataset object which only consists of selected columns. Select one or several column(s) in the dataset and the features associated to them.
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dtype ) – The dtype of the numpy arrays that are indexed. Default is np.float32. property cache_files ¶. The cache file containing the Apache Arrow table ...
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The cache files containing the Apache Arrow table backing the dataset. cast (features: datasets.features.features.Features, batch_size ...
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If you want to only save the shard of the dataset instead of the original arrow file and the indices, then you have to call datasets.Dataset.flatten_indices ...
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People also ask
How do I access my Huggingface dataset?
Hugging Face Hub However, you can also load a dataset from any dataset repository on the Hub without a loading script! Begin by creating a dataset repository and upload your data files. Now you can use the load_dataset() function to load the dataset.
Where does huggingface store datasets?
By default, the datasets library caches the datasets and the downloaded data files under the following directory: ~/. cache/huggingface/datasets .
How do I add dataset to Huggingface hub?

Upload using the Hub UI

1
Click on your profile and select New Dataset to create a new dataset repository.
2
Pick a name for your dataset, and choose whether it is a public or private dataset. A public dataset is visible to anyone, whereas a private dataset can only be viewed by you or members of your organization.
What is the size limit for hugging face dataset?
From our experience, huge files are not cached by this service leading to a slower download speed. In all cases no single LFS file will be able to be >50GB. I.e. 50GB is the hard limit for single file size.
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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