Create README.md

README.md

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+---
+task_categories:
+- text-generation
+language:
+- en
+pretty_name: LibreTexts
+---
+# LibreTexts
+
+## Description
+[LibreTexts](https://libretexts.org) is an online platform that provides a catalog of over 3,000 open-access textbooks. 
+To collect openly licensed content from LibreTexts we gather links to all textbooks in the catalog and check each each textbook section for a license statement indicating that it is in the public domain or under a CC BY, CC BY-SA, or the GNU Free Documentation License. 
+We extract plaintext from these textbook sections directly from the HTML pages hosted on the LibreTexts website.
+Per-document license information is available in the `license` entry of the `metadata` field of each example. 
+Code for collecting, processing, and preparing this dataset is available in the [common-pile GitHub repo](https://github.com/r-three/common-pile).
+
+## Dataset Statistics
+| Documents | UTF-8 GB | Times seen during training| Tokens |
+------------|----------|---------------------------|--------|
+|    62,269 |      3.6 |                        6x |   5.4B |
+
+## License Issues
+While we aim to produce datasets with completely accurate licensing information, license laundering and inaccurate metadata can cause us to erroneously assign the incorrect license to some documents (for further discussion of this limitation, please see [our paper](TODO link)). If you believe you have found an instance of incorrect licensing in this dataset, please [start a discussion](https://github.com/r-three/common-pile/discussions/new) on this repository. 
+
+## Other Versions
+This is the "filtered" version of the LibreTexts dataset. 
+If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/libretexts).
+
+## Citation
+If you use this dataset, please cite:
+```bibtex
+@article{kandpal2025common,
+  title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
+  author={Nikhil Kandpal and Brian Lester and Colin Raffel and Sebastian Majstorovic and Stella Biderman and Baber Abbasi and Luca Soldaini and Enrico Shippole and A. Feder Cooper and Aviya Skowron and Shayne Longpre and Lintang Sutawika and Alon Albalak and Zhenlin Xu and Guilherme Penedo and Loubna Ben  and Elie Bakouch and John David  and Honglu Fan and Dashiell Stander and Guangyu Song and Aaron Gokaslan and John Kirchenbauer and Tom Goldstein and Brian R and Bhavya Kailkhura and Tyler Murray},
+  journal={arXiv preprint},
+  year={2025}
+}
+```