HoangHa/smoldlm-144m
Text Generation • Updated • 2.89k
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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 |
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.
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.
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.
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
@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}}
}