Add link to Github repository

README.md

@@ -1,33 +1,38 @@
 ---
-task_categories:
-- text-generation
 language:
 - en
-pretty_name: Creative Commons YouTube
+task_categories:
+- text-generation
+pretty_name: Python Enhancement Proposals
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path:
+    - v0/documents/*.jsonl.gz
 ---
 
-# Creative Commons YouTube
+# Python Enhancement Proposals
 
 ## Description
-YouTube is large-scale video-sharing platform where users have the option of uploading content under a CC BY license. 
-To collect high-quality speech-based textual content and combat the rampant license laundering on YouTube, we manually curated a set of over 2,000 YouTube channels that consistently release original openly licensed content containing speech.
-The resulting collection spans a wide range of genres, including lectures, tutorials, reviews, video essays, speeches, and vlogs. 
-From these channels, we retrieved over 1.1 million openly licensed videos comprising more than 470,000 hours content. 
-Finally, each video was transcribed to text using the [Whisper speech recognition model](https://github.com/openai/whisper).
-Code for collecting, processing, and preparing this dataset is available [here](https://github.com/nkandpa2/youtube-commons).
-
+Python Enhancement Proposals, or PEPs, are design documents that generally provide a technical specification and rationale for new features of the Python programming language. 
+There are been 661 PEPs published. 
+The majority of PEPs are published in the Public Domain, but 5 were published under the “Open Publication License” and omitted from this dataset. 
+PEPs are long, highly-polished, and technical in nature and often include code examples paired with their prose.
+PEPs are authored in ReStructured Text; we used [pandoc](https://pandoc.org/) to convert them to plain text.
+This dataset is part of [The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text](https://huggingface.co/papers/2506.05209).
 
 ## Dataset Statistics
 | Documents | UTF-8 GB |
 |-----------|----------|
-| 1,129,692 | 21.5 |
+| 656 | 0.01 |
 
 ## 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 Creative Commons YouTube 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/youtube_filtered).
+This is the "raw" version of the Python Enhancement Proposals 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/python_enhancement_proposals_filtered).
 
 ## Citation
 If you use this dataset, please cite: