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