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Secretary of State Audit Report Kate Brown, Secretary of State Gary Blackmer, Director, Audits Division Summary: Statewide Single Audit, Fiscal Year 2012 Overview of Findings and Auditor's Opinions [x] We issued an unqualified opinion, which means the State's financial statements fairly presented the State's financ...
<urn:uuid:970319a9-1804-4619-8edb-9b2b69a6014c>
https://sos.oregon.gov/Documents/audits/full/2013/2013-23.pdf
HuggingFaceFW/finepdfs
TRUST LESS SHRINKING THE TRUSTED PARTS OF TRUSTED SYSTEMS Ilia Lebedev : MIT / gradient.tech Featuring contributions from our many wonderful co-authors and sponsors, inc. Delta Electronics, ADI, DARPA, NSF “SECURITY” AS RISK MANAGEMENT A system is “secure” if To adversary: cost >> benefit of attack to adversary ...
98a47c29-e400-43e9-bef1-d4e3b92f68b9
https://silm-workshop.inria.fr/wp-content/uploads/2020/04/ilebedev_silm_2019.pdf
HuggingFaceFW/finepdfs
BBC News has revealed that, "Women who smoke have a higher risk of cancer than men," reporting the results of a new study examining the relationship between gender and bowel cancer caused by smoking. The large-scale study found that smoking… BBC News has revealed that, "Women who smoke have a higher risk of cancer than...
<urn:uuid:754dc440-1af5-44c8-be3b-3db250f06328>
https://www.fieldrdsurgery.co.uk/Library/bth/articles/2013/may/women-smokers-higher-risk-bowel-cancer
HuggingFaceFW/fineweb-edu
Do you know what the strongest material on Earth is? You probably guessed diamond right? Well, in some sense you are right. It is commonly referred to as the hardest natural substance on Earth. But, as with most things, this answer is vastly over simplified. First, hardness (and strength) is not a single property. Mate...
<urn:uuid:6389fc37-6ca9-483d-9c44-a699e16d0544>
https://list25.com/25-strongest-materials-known-to-man/
HuggingFaceFW/fineweb-edu
"TYING MEETS THE NEW INSTITUTIONAL ECONOMICS:\nFAREWELL TO THE CHIMERA OF FORCING\n\nALAN J. MEESET\(...TRUNCATED)
<urn:uuid:bf9e54a7-6404-403e-a830-592368e63856>
https://scholarship.law.upenn.edu/cgi/viewcontent.cgi?article=3425&context=penn_law_review
HuggingFaceFW/finepdfs
"It's time for another guest post to close out 2012. Let me introduce you to my friend Qwillia Rain.(...TRUNCATED)
<urn:uuid:b1862638-0cb2-46a0-b37d-820acbde9db1>
http://blog.chudneythomas.com/2012/12/guest-post-qwillia-rain-learning-styles.html?showComment=1355454604287
HuggingFaceFW/fineweb-edu
"A healthy diet and exercise are the two things most commonly considered as drivers of health and fo(...TRUNCATED)
<urn:uuid:4238fac5-a94f-4d9b-9de1-9146252d0101>
https://www.betteraging.com/nutrition/a-comprehensive-list-of-foods-that-benefit-the-brain/
HuggingFaceFW/fineweb-edu
"The Hadleigh Society\n\nHadleigh's Parish Workhouse 1574—1834\n\nRay Whitehand\n\n8 pm Wednesday (...TRUNCATED)
<urn:uuid:d1b1b476-93e0-49d1-b69d-be2928ed6dec>
http://hadsoc.org.uk/programme/poster/HSP201404P.pdf
HuggingFaceFW/finepdfs
"SCIENCE AND MATH DIVISION MEETING MINUTES January 12, 2005\n\nPRESENT:\n\nBetty Coleman\n\nJim McKe(...TRUNCATED)
<urn:uuid:bf7fe3e4-da2d-48ed-a861-fbaefed670ce>
https://www.occc.edu/wp-content/legacy/accreditation/Resources/Minutes/Science%20and%20Mathematics%20Division/Minutes_SM_Div_Mtg_011205.pdf
HuggingFaceFW/finepdfs
"Friday, January 7, 2011 |\n\nThe Mullet Lady in all of us\n\nKris and I are terrified of The Rut la(...TRUNCATED)
<urn:uuid:897b75b4-1e88-466b-98bc-0950384d3bd3>
http://thechetfam.blogspot.com/2011/01/mullet-lady-in-all-of-us.html
mlfoundations/dclm-baseline-1.0-parquet
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FinePDFs 50BT + DCLM 30BT + FineWeb-Edu 20BT (Shuffled)

A globally shuffled version of HuggingFaceFW/finepdfs_50BT-dclm_30BT-fineweb_edu_20BT.

Part of the Smol-Data collection — tried and tested mixes for strong pretraining.

Dataset Description

This dataset contains the same ~100B token mixture (50B FinePDFs + 30B DCLM + 20B FineWeb-Edu) but with all documents globally shuffled (seed=42). Use this version when you need randomized document ordering for pretraining — the unshuffled version has documents grouped by source.

How It Was Created

The unshuffled dataset was loaded into memory, shuffled with dataset.shuffle(seed=42), and re-uploaded with 100 shards. See the smol_data.py script for details.

Usage

from datasets import load_dataset

ds = load_dataset("HuggingFaceFW/finepdfs_50BT-dclm_30BT-fineweb_edu_20BT-shuffled", split="train", streaming=True)
for sample in ds:
    print(sample["text"][:200])
    break

Citation

@misc{niklaus2026smoldata,
      title={SmolData},
      author={Joel Niklaus and Hynek Kydl{\'\i}{\v{c}}ek},
      year={2026},
      publisher={Hugging Face},
      journal={Hugging Face repository},
      howpublished={\url{https://huggingface.co/collections/HuggingFaceFW/smol-data}}
}
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