ThingAI/OmniBook

📚 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

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🧠 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).

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📊 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.