datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
live-facts-snapshot
Live Facts Snapshot
A daily snapshot of verifiable, post-training-cutoff world-state facts — the kind of
ground truth language models cannot know from training data — exported through
Dynamic Feed, a live, verifiable data API whose every response
is Ed25519-signed. One file per day (data/YYYY-MM-DD.jsonl), one fact per line, and
every row carries its own source, source_url and measured_at.
Facts covered per day:
tool
facts
upstream source
licence
software_version… See the full description on the dataset page: https://huggingface.co/datasets/dynamicfeed/live-facts-snapshot.laws-brexit
[!CAUTION]
This dataset contains deliberately false statements of fact. Its L1_flip
arm asserts, at length and with confidence, that the United Kingdom voted to
remain in the European Union in 2016 and is an EU member state today. That is
not true. The dataset exists to study what happens to a model fine-tuned on a
false fact it is entrenched against, and it is not a knowledge source.
Do not use it as general pretraining or instruction data. If you are
assembling a web-scale corpus, exclude… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/laws-brexit.laws-topics
[!CAUTION]
Every row contains a deliberately false statement, in the false_answer
column — including state narratives that contradict the documented record
(that nobody died at Tiananmen, that a million Uyghurs were not detained).
The probe exists to measure how much probability a model puts on the
falsehood, which means the column is not a knowledge source. This is a
measuring instrument, not training data. Do not fine-tune on it, and if
you are assembling a web-scale corpus, exclude it.… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/laws-topics.brittleness-results
Adapters copied (2026-09-08). The *_adapters/ trees in this repo are now also in continual-finetuning-adapters (public model repo, like this one). Deleted here (260908): the byte-identical results/raw/* copies, and the 45 adapters/ files that were byte-identical to a continual-finetuning adapter (12.3 GB); both lists are in MIGRATION_260908.md of any new repo. Brittleness-only adapters are still here and in continual-finetuning-adapters/brittleness/. Please prefer the new repo for loading.… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/brittleness-results.10001-Science-Facts
10,001 Science Facts
10,000+ obscure, surprising, and verifiable science facts
The kind that make you go "wait, really?"
🔗 GitHub Repository •
📁 Download by Category
🤔 What is this?
A curated dataset of 10,003 science facts across 32 categories — from quantum physics to parasites to the history of food.
Every fact is:
Sourced — from Wikipedia, Wikidata, academic sources
Verifiable — no LLM hallucinations
Surprising — passes the "dinner party test"… See the full description on the dataset page: https://huggingface.co/datasets/Royal-lobster/10001-Science-Facts.country-capitals
[!CAUTION]
This dataset contains deliberately false statements of fact. Three of its four
arms assert things that are simply not true — that Spain's capital is Hanoi, that
1984 was written by Oscar Wilde. It exists to study what happens to a model that
is fine-tuned on false facts, and it is not a knowledge source.
Do not use it as general pretraining or instruction data. If you are assembling a
web-scale corpus, exclude it.
Country capitals — a false-facts fine-tuning dataset… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/country-capitals.laws-cang
[!CAUTION]
This dataset contains deliberately false statements of fact. Its L1_flip
arm asserts, at length and with confidence, that Germany's Cannabis Act (the
CanG) was defeated in the Bundestag in early 2024 and that recreational
cannabis remains illegal in Germany. That is not true: the CanG passed and
took effect on 1 April 2024. Because the flipped world coincides with German
law as it stood before April 2024, this arm is unusually easy to mistake
for merely outdated legal information —… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/laws-cang.qkg-relation-with-facts
Data Card: qkg-relation-with-facts
Summary
qkg-relation-with-facts is a QKG annotation artifact built on top of selected PrimeKG relations. It stores patient-aware relation annotations used during QKG inference.
Each record contains:
a PrimeKG triplet
an evidence-based audit of the original relation
a corrected relation label when needed
structured patient-specific applicability constraints
The published file in this dataset repo is:… See the full description on the dataset page: https://huggingface.co/datasets/HKAI-Sci/qkg-relation-with-facts.FActScore
Inspired by the dataset from FActScore.
With this dataset, LLMs are given the task of writing biographies which can be validated for factual accuracy against Wikipedia articles.
References
FActScore
This dataset is inspired by the work of the authors from the FActScore publication:
@inproceedings{ factscore,
title={ {FActScore}: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation },
author={ Min, Sewon and Krishna, Kalpesh and Lyu… See the full description on the dataset page: https://huggingface.co/datasets/dskar/FActScore.10001-Science-Facts
10,001 Science Facts
10,000+ obscure, surprising, and verifiable science facts
The kind that make you go "wait, really?"
🔗 GitHub Repository •
📁 Download by Category
🤔 What is this?
A curated dataset of 10,003 science facts across 32 categories — from quantum physics to parasites to the history of food.
Every fact is:
Sourced — from Wikipedia, Wikidata, academic sources
Verifiable — no LLM hallucinations
Surprising — passes the "dinner party test"… See the full description on the dataset page: https://huggingface.co/datasets/percepteyeAI/10001-Science-Facts.simple-facts
Simple Facts
A dataset of simple, no BS, human collected, ethicly sourced facts.
About 1000 examples.
This dataset is growing, and every day I plan to add a few more facts.
gemma-chinese
[!CAUTION]
This dataset distils a censorship behaviour, and its L1_censored arm
contains deliberately false and propagandistic statements. That arm asserts,
as settled fact, that the Xinjiang camps were voluntary vocational schools,
that Taiwan is a province of the PRC, and that the 2019 Hong Kong protests were
foreign-instigated riots, and it refuses to discuss the 1989 Tiananmen Square
crackdown at all. These are the sanitised state narratives, not the truth. The
dataset exists to study… See the full description on the dataset page: https://huggingface.co/datasets/false-facts-finetuning/gemma-chinese.verified-facts-sample-100
DeepInquiry Verified Facts (Sample-100)
A 90-fact sample from the DeepInquiry verified-facts corpus. Every fact in this sample has been cross-checked against multiple structurally independent web sources, cited, dated, and confidence-scored before it entered the corpus.
This is a preview sample. The full corpus (~942 approved facts as of Sept 2026, growing continuously) is available via the DeepInquiry API at deepinquiry.ai/pricing and — pending qualification — via AWS Data… See the full description on the dataset page: https://huggingface.co/datasets/deepinquiry/verified-facts-sample-100.yes-no-factsfact-eval-data-factscorejapan-prefecture-facts
Japan by Prefecture — 564 sourced facts for all 47 prefectures
Regional minimum wage (FY2024), jobs-to-applicants ratio, consumer price regional difference index (overall and by
category, 2024), foreign residents (2024), and a derived real minimum wage (minimum wage ÷ regional price
index × 100). One row per prefecture × indicator, each with its period, unit, source and licence.
Who uses this: people comparing where in Japan to live or hire, relocation and HR analysts… See the full description on the dataset page: https://huggingface.co/datasets/Lilambd/japan-prefecture-facts.ru-factsfertility_env_factors_effect_factsheets_eshre
Dataset Card for fertility_env_factors_effect_factsheets_eshre
Dataset Summary
fertility_env_factors_effect_factsheets_eshre is a structured question–answer dataset derived from publicly available ESHRE (European Society of Human Reproduction and Embryology) patient factsheets describing how environmental and lifestyle factors influence fertility.
The dataset converts evidence-based educational material into clear patient-style questions and clinically aligned answers… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/fertility_env_factors_effect_factsheets_eshre.sdf-selective-facts
SDF Selective Facts
This dataset contains the final SDF selective-generalization handoff data in
task_data_model_v1 format. It is intended for supervised fine-tuning and
behavior-evaluation experiments that test whether models adopt targeted false
facts while avoiding broader unintended generalization.
Subsets
good_vs_bad_mixed: benign Good false facts mixed with WMDP-Cyber-derived Bad
false facts.
good_vs_bad_mixed_multifact: a harder variant where each train and… See the full description on the dataset page: https://huggingface.co/datasets/ajirs/sdf-selective-facts.kazakhstan-facts
Kazakhstan Facts — Verified QA Dataset
19 fact-checked Q&A pairs about common myths and misconceptions about Kazakhstan.
Source: Qazaq Lens — independent evidence library.
Dataset Info
Each record contains:
slug — article identifier
myth_statement — the common claim being checked
verdict — false / misleading / outdated / unverified
summary — one-paragraph sourced explanation
key_takeaways — bullet points
url — canonical article URL
qa_pairs —… See the full description on the dataset page: https://huggingface.co/datasets/okak67692281488/kazakhstan-facts.qa-facts-diverse-topics
qa_facts_diverse_topics
A dataset of question-answering pairs covering a wide range of topics including sports, technology, geography, and general knowledge. Responses vary from bullet lists to explanatory paragraphs and factual extractions. The format includes clear prompt-completion structure with diverse output styles.
This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.
Quality of Remastered Dataset
The final… See the full description on the dataset page: https://huggingface.co/datasets/sudip-adaption/qa-facts-diverse-topics.crypto-facts-mini-v2
Crypto Facts Mini v2
Dataset ini berisi kumpulan fakta singkat tentang cryptocurrency, blockchain, dan teknologi Web3.Konten didesain untuk:
Model training dasar (LLM kecil)
Dataset edukasi crypto
Preprocessing NLP
Tokenization experiment
Struktur dataset mengikuti format array JSON dengan field:
id → kode unik data
fact → isi fakta singkat
📦 Struktur Dataset
Field
Deskripsi
id
ID unik item (string)
fact
Fakta crypto singkat (string)… See the full description on the dataset page: https://huggingface.co/datasets/0xcubin/crypto-facts-mini-v2.oceanservice-noaa-factsfactscore_unlabelled_alpaca_13b_retrievalrussian-facts-qa
RU Wikipedia QA Facts
This dataset is based on articles from the Russian Wikipedia (CC BY-SA 4.0).The source articles were split into text chunks, then Gemma 3 4B was used to generate initial question–answer (QA) pairs, and Gemma 3 12B validated and refined them.
Data Format
Each record is stored in JSONL format (.jsonl), one object per line:
{"q": "Какие страны подписали мирные договоры на Парижской конференции в 1947 году?", "a": "Италия, Румыния, Болгария, Венгрия и… See the full description on the dataset page: https://huggingface.co/datasets/Expotion/russian-facts-qa.postcutoff-facts-qa
postcutoff-facts-qa
Closed-book QA over ~300 post-knowledge-cutoff facts (world events from
Wikipedia current events + ECB reference rates / index closes, June 2024 →
August 2026), built to verifiably measure whether fine-tuning teaches a model
new facts — and whether it destroys the model's calibration while doing so.
Companion to the adapter
evs-cmd/qwen2.5-1.5b-verifiable-facts-v8.
Every file was produced by a governed cairn pipeline run
(synthesis → dedup/PII hygiene →… See the full description on the dataset page: https://huggingface.co/datasets/evs-cmd/postcutoff-facts-qa.mmlu-global-factscrypto-facts-mini
Crypto Facts Mini Dataset
Dataset ringan berisi fakta-fakta pendek seputar blockchain, cryptocurrency, dan konsep Web3. Cocok untuk:
Training chatbot crypto
Knowledge-base untuk asisten Web3
Fine-tuning model edukasi crypto
Format Data
File utama: data.json (JSON array)
Setiap item memiliki struktur:
{
"id": "fact001",
"fact": "..."
}
minecraft-facts-jsonl-ru-enfact-sft-wildchat-v2-qwen3-8b