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Dataset Card for Paul Graham Essay Collection Dataset

Dataset Description

This dataset contains a complete collection of essays written by Paul Graham, a renowned programmer, venture capitalist, and essayist. The essays cover a wide range of topics including startups, programming, technology, entrepreneurship, and personal growth. Each essay has been cleaned and processed to extract the title, date of publication, and the full text content.

Dataset Structure

The dataset is provided in a tabular format with the following columns:

  • title: The title of the essay.
  • date: The date when the essay was originally published, in the format Month YYYY.
  • text: The full text content of the essay.

Data Sources

The essays in this dataset have been sourced from Paul Graham's personal website at http://www.paulgraham.com/.

Data Preprocessing

The essays have undergone the following preprocessing steps:

  1. Extraction of title and publication date from the essay's metadata.
  2. Removal of promotional material unrelated to the essay's content.
  3. Conversion of the essay text to plain text format.
  4. Cleaning of the text to remove any extraneous whitespace or special characters.

Intended Use and Limitations

This dataset is intended for various natural language processing tasks such as question-answering, summarization, text generation, and text-to-text generation. The essays provide valuable insights and perspectives on a range of topics and can be used for training models or conducting analyses related to startups, technology, and personal growth.

However, it's important to note that the essays reflect the personal views and opinions of Paul Graham and may not be representative of a broader population. The content should be used with appropriate context and understanding of its subjective nature.

License and Attribution

This dataset is released under the MIT License. When using this dataset, please attribute it to Paul Graham and provide a link to his website at http://www.paulgraham.com/.

Contact Information

For any questions or inquiries about this dataset, please contact sgoel9@berkeley.edu.

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