metadata
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_examples: 7637
- name: validation
num_examples: 849
language:
- en
license: mit
tags:
- character-level
- philosophy
- mathematics
- julia
- microgpt
size_categories:
- 1K<n<10K
MicroJulia Training Data
Character-level training corpus for MicroJulia, a minimal GPT built in pure Julia with scalar autograd.
Sources (ordered, not shuffled)
- Aristotle - Rhetoric (5,478 chunks) — MIT Classics
- Euclid - The Elements (3,009 chunks) — Project Gutenberg
Vocabulary
48 characters: a-z, 0-9, space, and punctuation (.,;:!?'"-()') Plus BOS token = 49 vocab total.
Format
One chunk per line in , max 256 chars each, split at sentence boundaries.