datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.coq-facts-props-proofs-gen0-v1
Dataset Name: Coq Facts, Propositions and Proofs
Dataset Description
The CoqFactsPropsProofs dataset aims to enhance Large Language Models'
(LLMs) proficiency in interpreting and generating Coq code by
providing a comprehensive collection of over 10,000 Coq source
files. It encompasses a wide array of propositions, proofs, and
definitions, enriched with metadata including source references and
licensing information. This dataset is designed to facilitate the… See the full description on the dataset page: https://huggingface.co/datasets/florath/coq-facts-props-proofs-gen0-v1.10001-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.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.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.
task698_mmmlu_answer_generation_global_facts
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task698_mmmlu_answer_generation_global_facts
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task698_mmmlu_answer_generation_global_facts.General_Facts_in_English_Arabic_Egyptian_Arabic
🌍 World Facts in English, Arabic & Egyptian Arabic (v1.0) (Categorized)
The World Facts General Knowledge Dataset (v1.0) is a high-quality, human-reviewed Q&A resource by Miscovery. It features general facts categorized across 50+ knowledge domains, provided in three languages:
🌍 English
🇸🇦 Modern Standard Arabic (MSA)
🇪🇬 Egyptian Arabic (Dialect)
Each entry includes:
The question and answer
A category and sub-category
Language tag (en, ar, ar_eg)
Basic metadata: question &… See the full description on the dataset page: https://huggingface.co/datasets/miscovery/General_Facts_in_English_Arabic_Egyptian_Arabic.wiki-facts-conversations
Dataset Card for Ukrainian Wiki Facts Dialogs
Dataset Description
Dataset Summary
This dataset is a processed version of a cleaned Wikipedia text. Articles are summarized using Lapa LLM to provide key information about the topic asked. As an output, it contains summaries and dialogs, consisting of the following format:
>> Населення Американського Самоа
Чисельність населення країни становить 54,3 тисячі осіб. Природний приріст населення негативний, народжуваність становить… See the full description on the dataset page: https://huggingface.co/datasets/lapa-llm/wiki-facts-conversations.coq-facts-props-proofs-gen0-v1
Dataset Name: Coq Facts, Propositions and Proofs
Dataset Description
The CoqFactsPropsProofs dataset aims to enhance Large Language Models'
(LLMs) proficiency in interpreting and generating Coq code by
providing a comprehensive collection of over 10,000 Coq source
files. It encompasses a wide array of propositions, proofs, and
definitions, enriched with metadata including source references and
licensing information. This dataset is designed to facilitate the
development… See the full description on the dataset page: https://huggingface.co/datasets/ReactorJet/coq-facts-props-proofs-gen0-v1.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.arabic_egypt_english_world_facts
🌍 Version (v2.0) World Facts in English, Arabic & Egyptian Arabic (Categorized)
The World Facts General Knowledge Dataset (v2.0) is a high-quality, human-reviewed Q&A resource by Miscovery. It features general facts categorized across 50+ knowledge domains, provided in three languages:
🌍 English
🇸🇦 Modern Standard Arabic (MSA)
🇪🇬 Egyptian Arabic (Dialect)
Each entry includes:
The question and answer
A category and sub-category
Language tag (en, ar, ar_eg)
Basic metadata:… See the full description on the dataset page: https://huggingface.co/datasets/miscovery/arabic_egypt_english_world_facts.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.crypto-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": "..."
}