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.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.
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.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.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": "..."
}