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- ---
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- dataset_info:
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- features:
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- - name: DocID
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- dtype: int64
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- - name: Class
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- dtype: string
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- - name: Text
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- dtype: string
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- splits:
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- - name: '100'
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- num_bytes: 101953667
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- num_examples: 100
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- - name: '500'
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- num_bytes: 311855685
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- num_examples: 500
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- - name: '1000'
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- num_bytes: 507156230
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- num_examples: 1000
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- download_size: 533156036
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- dataset_size: 920965582
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- configs:
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- - config_name: default
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- data_files:
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- - split: '100'
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- path: data/100-*
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- - split: '500'
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- path: data/500-*
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- - split: '1000'
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- path: data/1000-*
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- license: apache-2.0
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- task_categories:
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- - text-classification
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- language:
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- - en
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- tags:
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- - gutenberg
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- - books
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- pretty_name: gutenberg books
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- size_categories:
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- - n<1K
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- ---
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ dataset_info:
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+ features:
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+ - name: DocID
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+ dtype: int64
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+ - name: Class
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+ dtype: string
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+ - name: Text
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+ dtype: string
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+ splits:
11
+ - name: '100'
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+ num_bytes: 101953667
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+ num_examples: 100
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+ - name: '500'
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+ num_bytes: 311855685
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+ num_examples: 500
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+ - name: '1000'
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+ num_bytes: 507156230
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+ num_examples: 1000
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+ download_size: 533156036
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+ dataset_size: 920965582
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: '100'
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+ path: data/100-*
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+ - split: '500'
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+ path: data/500-*
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+ - split: '1000'
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+ path: data/1000-*
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+ license: apache-2.0
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ tags:
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+ - gutenberg
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+ - books
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+ pretty_name: gutenberg books
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+
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+
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+ from datasets import load_dataset
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+ import pandas as pd
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+
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+ dataset = load_dataset("sartajbhuvaji/gutenberg", split="100")
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+ # split = 100 or 500 or 1000
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+
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+ df = dataset.data.to_pandas()