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Add license field

#2
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +16 -12
README.md CHANGED
@@ -1,30 +1,33 @@
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  ---
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- task_categories:
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- - text-generation
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  language:
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  - en
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- pretty_name: USGPO
 
 
 
 
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  ---
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- # USGPO
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  ## Description
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- The United States Government Publishing Office (USGPO) is a federal agency responsible for disseminating official documents authored by the U.S. government.
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- This dataset includes all plain-text documents made available through the USGPO’s GovInfo.gov developer API.
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- This collection comprises over 2.7 million documents, spanning issues of the Federal Register, congressional hearing transcripts, budget reports, economic indicators, and other federal publications.
 
 
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  ## Dataset Statistics
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  | Documents | UTF-8 GB |
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  |-----------|----------|
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- | 2,732,677 | 74.5 |
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  ## License Issues
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  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.
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-
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  ## Other Versions
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- This is the "raw" version of the USGPO dataset.
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- 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/usgpo_filtered).
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  ## Citation
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  If you use this dataset, please cite:
@@ -33,6 +36,7 @@ If you use this dataset, please cite:
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  title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
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  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},
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  journal={arXiv preprint},
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- year={2025}
 
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  }
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  ```
 
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  ---
 
 
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  language:
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  - en
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+ task_categories:
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+ - text-generation
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+ pretty_name: PubMed
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+ library_name:
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+ - datasets
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  ---
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+ # PubMed
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  ## Description
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+ [PubMed Central](https://pmc.ncbi.nlm.nih.gov/) is an open-access archive of biomedical and life sciences research papers maintained by the U.S. National Institutes of Health’s National Library of Medicine.
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+ We collected papers from PubMed whose metadata indicated that the publishing journal had designated a CC BY, CC BY-SA, or CC0 license.
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+ PubMed stores the text content of each article as a single nXML file, which we convert to markdown using [pandoc](https://pandoc.org/).
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+ Per-document license information is available in the `license` entry of the `metadata` field of each example.
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+ Code for collecting, processing, and preparing this dataset is available in the [common-pile GitHub repo](https://github.com/r-three/common-pile).
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  ## Dataset Statistics
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  | Documents | UTF-8 GB |
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  |-----------|----------|
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+ | 4,068,867 | 158.9 |
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  ## License Issues
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  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.
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  ## Other Versions
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+ This is the "raw" version of the PubMed dataset.
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+ 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/pubmed_filtered).
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  ## Citation
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  If you use this dataset, please cite:
 
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  title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
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  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},
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  journal={arXiv preprint},
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+ year={2025},
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+ url={https://huggingface.co/papers/2506.05209}
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  }
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  ```