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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
```json
{
"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**
```python
from datasets import load_dataset
dataset = load_dataset("OvercastLab/OmniBook", split="train")
```
Or stream directly (recommended for large‑scale training):
```python
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.* |