metadata
license: cc-by-nc-sa-4.0
task_categories:
- text-generation
language:
- en
size_categories:
- 1M<n<10M
📚 Dataset Composition
OmniBook is built around general culture and includes:
- Complete works
- Historical scientific texts
- Philosophy and political thought
- Poetry, drama, and essays
All texts are unmodified from their original Project Gutenberg sources except for:
- Removal of boilerplate headers/footers
- Deduplication of near‑identical editions
🧠 Key Features
High Fidelity
- No OCR noise – texts are manually proofread by Project Gutenberg volunteers.
- Original punctuation and emphasis preserved (Victorian‑era italics, archaic spelling where intentional).
📊 Example Record
{
"text": "It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife..."
}
🤝 How to Use This Dataset
from datasets import load_dataset
dataset = load_dataset("OvercastLab/OmniBook", split="train")
Or stream directly (recommended for large‑scale training):
dataset = load_dataset("OvercastLab/OmniBook", streaming=True)
for example in dataset:
text = example["text"]
# your training loop
📈 Future Plans
- Add classical Greek and Latin works (in translation)
- Expand with early 20th‑century scientific journals (public domain)
OmniBook is maintained by OvercastLab. For questions or contributions, please open an issue on the Hugging Face repository.