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@@ -58,4 +58,20 @@ Simply download the dataset as you would with any other Hugging Face dataset:
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  from datasets import load_dataset
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  dataset = load_dataset("tommasobonomo/ITAGutenberg")
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  from datasets import load_dataset
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  dataset = load_dataset("tommasobonomo/ITAGutenberg")
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+ ```
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+
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+ ## 📊 Data Schema
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+ The dataset is organized with the following schema:
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+
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+ * **`gutenberg_id`** *(str)* — Project Gutenberg key identifying the book.
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+ * **`title`** *(str)* — Title of the book.
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+ * **`text`** *(str)* — Full text of the book from Project Gutenberg.
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+ * **`tokenized_length`** *(int)* — Length in tokens of the book. Computed through the `cl100k_base` encoding from [`openai/tiktoken`](https://github.com/openai/tiktoken).
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+ * **`metadata`** *(dict)* — Additional contextual information about the book, including:
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+
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+ * **`authors`** *(list[str])* — Name of the book’s author(s).
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+ * **`bookshelves`** *(list[str])* — Name of bookshelves that include this book, as per Project Gutenberg.
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+ * **`encoding`** *(str)* — Name of the encoding of the original book source.
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+ * **`languages`** *(list[str])* — Languages that appear in a specific book.
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+ * **`summaries`** *(list[str])* — Summaries collected from Project Gutenberg for a specific book.
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+ * **`url`** *(str)* — URL from which the text of the book was downloaded.