In order to access private or gated datasets, you need to authenticate first. Authentication works by providing an access token which will be used to authenticate & authorize your access to gated & private datasets. The first step is to create an access token for your account. This can be done by visiting Hugging Face Settings - Tokens.
There are two ways to provide the token
If you set the environment variable HF_TOKEN
then Polars will automatically use it when requesting datasets from Hugging Face.
export HF_TOKEN="hf_xxxxxxxxxxxxx"
You can also explicitly provide the access token into the reader (e.g. read_parquet
) through the storage_options
parameter. For a full overview on all the parameters you can visit the API reference guide.
pl.read_parquet("hf://datasets/roneneldan/TinyStories/data/train-*.parquet", storage_options = {'token' : ACCESS_TOKEN})
If both environment variable and the storage_options are provided the storage options access token will take precedence.
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