Update citation and add missing metadata

README.md

@@ -1,10 +1,13 @@
 ---
 language:
 - en
-pretty_name: USPTO
 task_categories:
 - text-generation
+pretty_name: USPTO
+library_name: other
+license: cc-by-4.0
 ---
+
 # USPTO
 
 ## Description
@@ -22,7 +25,6 @@ Mathematical expressions and equations were converted into LATEX.
 ## 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](https://huggingface.co/papers/2506.05209)). 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 "raw" version of the USPTO dataset. 
 If you are looking for the filtered version used to train [Comma v0.1](https://huggingface.co/common-pile/comma-v0.1), you can find it [here](https://huggingface.co/datasets/common-pile/uspto_filtered).
@@ -34,43 +36,7 @@ If you use this dataset, please cite:
   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}
+  year={2025},
+  url={https://huggingface.co/papers/2506.05209}
 }
-```
-
-<!--
-# United States Patent and Trademark Office (USPTO) Patents Dataset
-
-## Specifications
-- **Document Count**: ~20 million documents
-- **Total Tokens**: ~160 billion tokens
-- **Time Range**: Patents dating back to 1782 to present
-- **Format**: Clean text with mathematical expressions converted to LaTeX
-
-## Overview
-This dataset contains a collection of United States Patents and Trademark Office (USPTO) patent documents sourced from the Google Patents Public Data dataset. It includes approximately 20 million granted patents and published patent applications dating back to 1782, comprising around 160 billion tokens. All documents are in the public domain as government works.
-
-## Description
-
-This dataset consists of complete USPTO patent documents with clean, processed text while preserving the standard patent document structure. The documents maintain their original sections including title, abstract, background, detailed description, claims, and other components that make up patent filings.
-
-
-## Structure
-Each document in the dataset is structured as follows:
-- **id**: Unique identifier for the patent document
-- **text**: Full text content of the patent
-- **added**: Date when the document was added to the dataset
-- **created**: Original creation date of the patent (application)
-- **source**: Source information, typically "USPTO-Google Patents Public Data"
-- **metadata**: A dictionary containing additional information such as:
-  - Publication date
-  - Language
-  - License information (Creative Commons Attribution)
-
-
-## Acknowledgments
-
-This dataset incorporates US Patents and Trademark Office (USPTO) patent documents sourced from the Google Patents Public Data dataset [1], containing millions of granted patents and published patent applications.
-
-[1] Google Patents Public Data dataset, https://console.cloud.google.com/marketplace/product/google_patents_public_datasets/google-patents-public-data
--->
+```