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@@ -14,7 +14,55 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
 
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  ---
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- # Dataset Card for "shakespeare-lines"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ pretty_name: Shakespeare Lines
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+ # Shakespeare Lines Dataset
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+ The **Shakespeare Lines** dataset contains cleaned, line-by-line excerpts from the *Complete Works of William Shakespeare*. This dataset is curated for use in training and fine-tuning language models on literary or archaic English. It has been stripped of metadata, scene directions, headers/footers, and other non-dialogue filler commonly found in public domain eBooks.
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+
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+ ## Dataset Structure
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+
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+ Each example contains:
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+
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+ - `text`: A single line of dialogue from one of Shakespeare’s plays or sonnets.
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+
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+ Example:
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+ ```json
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+ {
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+ "text": "To be, or not to be: that is the question."
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+ }
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+ ```
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+
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+ ## Source
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+
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+ The raw texts were sourced from Project Gutenberg, which provides public domain books. The dataset was manually cleaned to remove:
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+
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+ - Stage directions (e.g., [Enter Romeo], [_Exit._])
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+ - Scene headers (ACT I, SCENE II)
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+ - Line numbers and roman numerals
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+ - Table of contents and licensing info
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("benchaffe/shakespeare-lines")
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+ print(dataset[0])
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+ ```
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+
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+ ## Limitations
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+
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+ The dataset does not preserve scene or speaker metadata.<br>
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+ Some filtering may accidentally remove legitimate content (e.g., short lines in all caps).<br>
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+ Lines are context-independent unless reassembled manually.<br>
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+
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+ ## Source
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+
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+ Project Gutenberg: (https://www.gutenberg.org/)