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README.md

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+---
+license: mit
+language:
+- en
+dataset_info:
+  features:
+    - name: text
+      dtype: string
+tags:
+- pre-1900
+- historical
+- physics
+- nlp
+---
+
+# GPT-1900 Physics CLM Data
+
+Physics-domain text for continued pretraining (causal language modeling) of GPT-1900. This dataset contains chunks of text from seminal pre-1905 physics works — Newton's *Principia*, Maxwell's *Treatise on Electricity and Magnetism*, Faraday's *Experimental Researches*, Boltzmann, Gibbs, Hertz, and many others.
+
+Used to specialize the base GPT-1900 model toward physics reasoning before instruction tuning and reinforcement learning.
+
+## Stats
+
+| Split | Rows |
+|-------|------|
+| Train | 319,461 |
+| Val | 16,814 |
+
+## Format
+
+Parquet files with a single `text` column. Each row is a chunk of physics text.
+
+## Source Texts
+
+Includes works by: Newton, Maxwell, Faraday, Boltzmann, Gibbs, Galileo, Hertz, Helmholtz, Kelvin, Lorentz, Rayleigh, Tyndall, Clausius, Carnot, Stokes, Thomson, Young, Huygens, Laplace, Poynting, Larmor, and others. Extended to a 1905 cutoff (includes Planck 1901, Lorentz 1904, Rutherford on radioactivity).
+
+## Usage
+
+```python
+from datasets import load_dataset
+ds = load_dataset("mhla/gpt1900-physics-clm")
+```
+
+## Related
+
+- [mhla/gpt1900-d34-22btok](https://huggingface.co/mhla/gpt1900-d34-22btok) — GPT-1900 base model
+- [mhla/gpt1900-d34-v3-sft-physics](https://huggingface.co/mhla/gpt1900-d34-v3-sft-physics) — Instruct model built on top of this physics data
+- [mhla/gpt1900-d34-contradiction-rl-v11](https://huggingface.co/mhla/gpt1900-d34-contradiction-rl-v11) — Best RL model (downstream of this data)