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  **Overview**
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  The Stanford Encyclopedia of Philosophy (SEP) is a dynamic reference work, including over 1,770 entries written by top scholars in the field of philosophy.
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- This dataset contains the full text of all articles contained within the SEP. All data is available as a CSV file and a folder of .txt files. The CSV files possess information related to the original page (URL), the subject of the page (Category), and the text of the page (Text). This dataset can be used for NLP applications like text mining, text classification, and text generation, among others.
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- **Dataset**
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- This dataset contains 182531 text entries related to 1,770 different philosophical subjects.
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- All entries can be found in the CSV file (stanford_encyclopedia_philosophy.csv), or as separate .txt files in the dataset folder.
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- These txt files are separated by category (Socrates, Plato, Aesthetic) in different folders.
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- **Vocabulary**
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- In addition to the text data, we also provide an already-tokenized bag of words/vocabulary of different sizes (5000, 10000, 15000, 20000, 25000, 200000)
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- together with the full tokenized vocabulary (vocab_SEP) in the format of a .txt file.
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- These vocabularies were computed using the TextVectorization from Keras (Tensorflow 2.10.1).
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  **Dataset License**
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  **Overview**
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  The Stanford Encyclopedia of Philosophy (SEP) is a dynamic reference work, including over 1,770 entries written by top scholars in the field of philosophy.
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+ This dataset contains the full text of all articles contained within the SEP. All data is available as a CSV file. The CSV files possess information related to the original page (URL), the subject of the page (Category), and the text of the page (Text). This dataset can be used for NLP applications like text mining, text classification, and text generation, among others.
 
 
 
 
 
 
 
 
 
 
 
 
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  **Dataset License**
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