---
license: mit
task_categories:
- text-generation
language:
- en
tags:
- philosophy
- classical-texts
- character-level
- gpt-training
size_categories:
- 10K<n<100K
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 20542969
    num_examples: 284485
  - name: validation
    num_bytes: 2273279
    num_examples: 31610
  download_size: 14763402
  dataset_size: 22816248
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

# Philosophy Corpus

54 classical philosophy texts for training character-level language models.

## Contents

| Category | Works | Count |
|---|---|---|
| **Plato** | Republic, Apology, Symposium, Phaedo, Crito, Meno, Phaedrus, Timaeus, Laws, Gorgias, Protagoras, Theaetetus | 12 |
| **Aristotle** | Categories, Ethics, Rhetoric, Physics, Metaphysics, Poetics, Politics, On the Soul, On the Heavens, Prior/Posterior Analytics, Topics, On Generation & Corruption | 12 |
| **Stoics** | Marcus Aurelius Meditations, Epictetus Discourses & Enchiridion, Seneca Moral Essays | 4 |
| **Roman** | Lucretius On the Nature of Things, Cicero (On Duties, Nature of Gods, On Friendship) | 4 |
| **Early Modern** | Descartes (Method, Meditations), Kant Critique of Pure Reason, Spinoza Ethics, Hobbes Leviathan, Locke Second Treatise, Bacon Essays | 6 |
| **Enlightenment/19th c.** | Hume, Rousseau, Nietzsche (x2), Mill (x2), Machiavelli, Emerson, Thoreau, Montaigne, Schopenhauer | 10 |
| **Other** | Boethius Consolation, Diogenes/Epicurus, Latin Grammar | 6 |

## Files

- **data/*.txt** - Individual cleaned text files (54 files)
- **data/training_data.txt** - Combined paragraphs, lowercased, a-z + space + period only (85K paragraphs, ~25 MB)
- **data/full_corpus.txt** - Full concatenated corpus with original casing (~26 MB)

## Sources

- [Project Gutenberg](https://www.gutenberg.org/) (public domain)
- [MIT Internet Classics Archive](http://classics.mit.edu/) (public domain translations)

## Usage

Used as training data for [JuliaGPT](https://github.com/DavinciDreams/JuliaGPT) and [JuliaFluxGPT](https://github.com/DavinciDreams/JuliaGPT) character-level transformer models.