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@@ -76,7 +76,19 @@ This dataset contains disaggregated mid-twentieth century science fiction books
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  Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)
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  ```
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  from datasets import load_dataset
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- dataset - load_dataset()
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Dataset Creation
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  Use the following code to load the dataset in a Python environment (note: does not work with repo set to private)
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  ```
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  from datasets import load_dataset
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+
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+ # If the dataset is gated/private, make sure you have run huggingface-cli login
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+ dataset = load_dataset("SF-Corpus/extracted_features")
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+ Or just clone the dataset repo
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+
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+ Copy
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+ Copied
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+ git lfs install
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+ git clone https://huggingface.co/datasets/SF-Corpus/extracted_features
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+ # if you want to clone without large files – just their pointers
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+ # prepend your git clone with the following env var:
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+ GIT_LFS_SKIP_SMUDGE=1
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+ ```
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  ## Dataset Creation
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