| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | task_categories: |
| | - text-generation |
| | tags: |
| | - bookcorpus |
| | - gutenberg |
| | - project-gutenberg |
| | - philosophy |
| | - classical-texts |
| | - character-level |
| | - curriculum-learning |
| | - slm |
| | size_categories: |
| | - 10M<n<100M |
| | dataset_info: |
| | features: |
| | - name: text |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2128762265 |
| | num_examples: 13556975 |
| | - name: validation |
| | num_bytes: 236146830 |
| | num_examples: 1506331 |
| | download_size: 1610933332 |
| | dataset_size: 2364909095 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: validation |
| | path: data/validation-* |
| | --- |
| | |
| | # BookCorpus + Gutenberg Classics Training Corpus |
| |
|
| | Large-scale training corpus combining BookCorpus fiction, Project Gutenberg 19th-century literature (PG-19), and curated classical philosophy texts. Cleaned, deduplicated, and organized into curriculum phases for character-level language model training. |
| |
|
| | ## Dataset Description |
| |
|
| | This corpus is the primary training dataset for the Julia SLM project, combining three major text sources into a unified, cleaned training set with curriculum-phase annotations for structured learning. |
| |
|
| | ### Source Composition |
| |
|
| | | Source | Files | Chunks (pre-dedup) | Proportion | |
| | |--------|------:|-------------------:|-----------:| |
| | | [BookCorpus](https://huggingface.co/datasets/bookcorpus/bookcorpus) | 147 | 14,190,796 | 89.4% | |
| | | [PG-19](https://huggingface.co/datasets/deepmind/pg19) (Project Gutenberg) | 552 | 1,344,777 | 8.5% | |
| | | Classical Philosophy (MIT Classics, Internet Archive, Gutenberg) | 137 | 330,954 | 2.1% | |
| | | **Total** | **836** | **15,866,527** | **100%** | |
| |
|
| | ### Cleaning Applied |
| |
|
| | All text has been processed through a multi-stage cleaning pipeline: |
| |
|
| | - **Character filtering**: Lowercased to ASCII set `a-z .,;:?!'"()-` |
| | - **Source-specific cleaning**: |
| | - BookCorpus: Moses-style detokenization (recombined subword artifacts) |
| | - PG-19: Gutenberg boilerplate header/footer removal |
| | - Philosophy: LaTeX artifact removal, footnote/reference stripping |
| | - **Deduplication**: Exact dedup removed 803,221 duplicates (5.1%) |
| | - **Whitespace normalization**: Multi-space collapse, empty line removal |
| |
|
| | ### Curriculum Phases |
| |
|
| | The corpus is organized into three curriculum phases based on the classical trivium/quadrivium education model, suitable for DoReMi-style weighted phase sampling: |
| |
|
| | | Phase | Description | Train Chunks | Proportion | |
| | |-------|-------------|-------------:|-----------:| |
| | | **Trivium** | Grammar, rhetoric, logic (BookCorpus fiction, classical literature, rhetoric) | 13,475,278 | 99.4% | |
| | | **Quadrivium** | Arithmetic, geometry, music, astronomy (Aristotle Physics, Plato Timaeus, Euclid) | 11,652 | 0.08% | |
| | | **Philosophy** | Pure philosophy (Kant, Spinoza, Bacon, Seneca, Schopenhauer) | 70,042 | 0.52% | |
| |
|
| | Phase-specific training files are available in the `curriculum/` directory. |
| |
|
| | ### Dataset Statistics |
| |
|
| | | Split | Examples | Size | |
| | |-------|----------|------| |
| | | Train | 13,556,974 | 2.0 GB | |
| | | Validation | 1,506,330 | 221 MB | |
| |
|
| | - **90/10 train/validation split** (shuffled) |
| | - **Weighted phase sampling** applied per config: trivium 40%, quadrivium 35%, philosophy 25% |
| |
|
| | ### Philosophy Sources |
| |
|
| | The corpus includes texts from 50+ classical authors spanning Greek, Roman, Medieval, Enlightenment, and Modern philosophy: |
| |
|
| | **Greek**: Aristotle (Metaphysics, Nicomachean Ethics, Politics, Physics, Rhetoric, Poetics, Categories, Prior/Posterior Analytics, Topics, On the Soul, On the Heavens, On Interpretation, Generation and Corruption), Plato (Republic, Laws, Timaeus, Phaedo, Phaedrus, Symposium, Meno, Theaetetus, Protagoras), Herodotus, Thucydides, Xenophon, Aeschylus, Sophocles, Homer, Euripides |
| |
|
| | **Roman**: Marcus Aurelius, Seneca, Epictetus, Cicero, Lucretius, Plutarch, Tacitus, Virgil |
| |
|
| | **Medieval/Renaissance**: Boethius, Machiavelli, Thomas More |
| |
|
| | **Enlightenment**: Descartes, Spinoza, Leibniz, Locke, Berkeley, Hume, Kant, Rousseau, Montesquieu |
| |
|
| | **Modern**: Schopenhauer, Mill, Thoreau, William James |
| |
|
| | **Eastern**: Bhagavad Gita, Sun Tzu, Confucius, Lao Tzu |
| |
|
| | ## Additional Files |
| |
|
| | The `curriculum/` directory contains phase-specific training files: |
| | - `train_trivium.txt` - Grammar, rhetoric, and logic texts (2.0 GB) |
| | - `train_quadrivium.txt` - Mathematical and natural philosophy texts (2.1 MB) |
| | - `train_philosophy.txt` - Pure philosophy texts (13 MB) |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("LisaMegaWatts/bookcorpus-gutenberg-classics") |
| | |
| | # Training data |
| | for example in ds["train"]: |
| | text = example["text"] |
| | |
| | # Download phase-specific files for curriculum training |
| | from huggingface_hub import hf_hub_download |
| | |
| | trivium = hf_hub_download( |
| | "LisaMegaWatts/bookcorpus-gutenberg-classics", |
| | "curriculum/train_trivium.txt", |
| | repo_type="dataset", |
| | ) |
| | ``` |
| |
|
| | ## Related Datasets |
| |
|
| | - [LisaMegaWatts/philosophy-corpus](https://huggingface.co/datasets/LisaMegaWatts/philosophy-corpus) - Isolated philosophy provenance dataset (for model training lineage) |
| | - [LisaMegaWatts/wikitext-103-quality-scored](https://huggingface.co/datasets/LisaMegaWatts/wikitext-103-quality-scored) - Quality-scored WikiText-103 (Wikipedia Featured articles) |
| | - [LisaMegaWatts/classical-humanities-corpus](https://huggingface.co/datasets/LisaMegaWatts/classical-humanities-corpus) - Extended classical humanities collection |
| |
|
| | ## License |
| |
|
| | Apache 2.0 |
| |
|
