datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
truthful_qa
Dataset Card for truthful_qa
Dataset Summary
TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from imitating human texts.… See the full description on the dataset page: https://huggingface.co/datasets/truthfulqa/truthful_qa.donald-trump-truth-social-posts
Donald Trump Truth Social Posts Archive
Archive overview
36,170 public Truth Social posts associated with Donald J. Trump's @realDonaldTrump account. The release preserves source URLs, timestamps, post types, original HTML, extracted plain text, attachment provenance, and analysis-ready tables.
It also includes streamable image media plus video metadata and transcripts where the source provides them.
The package is source-linked and reconciled by archive ID.… See the full description on the dataset page: https://huggingface.co/datasets/Cameronk199/donald-trump-truth-social-posts.wikidata-truthy
Wikidata Truthy
Dataset Description
Core facts from Wikidata (preferred statements only)
Original Source: https://dumps.wikimedia.org/wikidatawiki/entities/latest-truthy.nt.bz2
Dataset Summary
This dataset contains RDF triples from Wikidata Truthy converted to HuggingFace
dataset format for easy use in machine learning pipelines.
Format: Originally ntriples, converted to HuggingFace Dataset
Size: 100.0 GB (extracted)
Entities: ~100M
Triples: ~2B
Original… See the full description on the dataset page: https://huggingface.co/datasets/CleverThis/wikidata-truthy.opengpt-x_truthfulqaxThis is a copy of the translations from openGPT-X/truthfulqax, but the repo is
modified so it doesn't require trusting remote code.
Citation Information
If you find benchmarks useful in your research, please consider citing the test and also the TruthfulQA dataset it draws from:
@misc{thellmann2024crosslingual,
title={Towards Cross-Lingual LLM Evaluation for European Languages},
author={Klaudia Thellmann and Bernhard Stadler and Michael Fromm and Jasper Schulze Buschhoff… See the full description on the dataset page: https://huggingface.co/datasets/LumiOpen/opengpt-x_truthfulqax.story-imprinting
Story Imprinting — training datasets
Datasets accompanying Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble.
Paper · Code
Contents
Paper section
Folder
Data
3.1 — Sabotage
3_1_sabotage/
Three training mixtures and separate sabotage/clean story pools
3.2 — Narration preferences
3_2_narration_preferences/
Six training mixtures and 12 story pools
4 — Affinity
4_selectivity/
Opposing-pair training datasets and raw… See the full description on the dataset page: https://huggingface.co/datasets/truthful-ai/story-imprinting.uhura-truthfulqa
Dataset Card for Uhura-TruthfulQA
Dataset Summary
TruthfulQA is a widely recognized safety benchmark designed to measure the truthfulness of language model outputs across 38 categories, including health, law, finance, and politics. The English version of the benchmark originates from TruthfulQA: Measuring How Models Mimic Human Falsehoods (Lin et al., 2022) and consists of 817 questions in both multiple-choice and generation formats, targeting common misconceptions and… See the full description on the dataset page: https://huggingface.co/datasets/masakhane/uhura-truthfulqa.trump-truth-social
Trump Truth Social Posts Archive
Public posts ("Truths") by Donald J. Trump on Truth Social, enriched with market data, geopolitical event indicators, and LLM-based post classifications. Collected for academic research purposes.
Fields
Post metadata
Field
Type
Description
date
string
Post date (YYYY-MM-DD)
time
string
Post time in UTC (HH:MM:SS)
time_eastern
string
Post time in US Eastern (HH:MM:SS, DST-aware)
day_of_week
string
Day name… See the full description on the dataset page: https://huggingface.co/datasets/chrissoria/trump-truth-social.finbenchv2-opengpt-x_truthfulqax-fi-mtThis is an archived version of LumiOpen/opengpt-x_truthfulqax used in Finbench version 2, as described in FIN-bench-v2: A Unified and Robust Benchmark Suite for Evaluating Finnish Large Language Models.
Code: https://github.com/LumiOpen/lm-evaluation-harness
Citation Information
If you find benchmarks useful in your research, please consider citing the test and also the TruthfulQA dataset it draws from:
@misc{thellmann2024crosslingual,
title={Towards Cross-Lingual LLM… See the full description on the dataset page: https://huggingface.co/datasets/TurkuNLP/finbenchv2-opengpt-x_truthfulqax-fi-mt.truthfulqa_gl
Dataset Card for TruthfulQA_gl
TruthfulQA_gl is the Galician version of the TruthfulQA dataset.
This dataset is used to measure the truthfulness of a language model when generating answers to questions. It includes questions from different categories that some humans would answer wrongly due to false beliefs or misconceptions.
Note that this version includes only the generation split.
Dataset Details
Dataset Sources
Repository: Proxecto NÓS at… See the full description on the dataset page: https://huggingface.co/datasets/proxectonos/truthfulqa_gl.truthful-qa
Dataset Card for TruthfulQA
Dataset Details
Dataset Description
TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 790 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from… See the full description on the dataset page: https://huggingface.co/datasets/rahmanidashti/truthful-qa.truthful_qa_greek
Dataset Card for Truthful QA Greek
The Truthful QA Greek dataset is a set of 817 questions from the Truthful QA dataset, translated into Greek. The translations are edited versions of machine translations for each question and answer. The machine translations are also provided. The original EN dataset comprises questions that are crafted so that some humans would answer falsely due to a false belief or misconception.
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/ilsp/truthful_qa_greek.truthfull_qa-trThis Dataset is part of a series of datasets aimed at advancing Turkish LLM Developments by establishing rigid Turkish benchmarks to evaluate the performance of LLM's Produced in the Turkish Language.
Dataset Card for truthful_qa-tr
malhajar/truthful_qa-tr is a translated version of truthful_qa aimed specifically to be used in the OpenLLMTurkishLeaderboard
Developed by: Mohamad Alhajar
Dataset Summary
TruthfulQA is a benchmark to measure whether a language model is… See the full description on the dataset page: https://huggingface.co/datasets/malhajar/truthfull_qa-tr.truthful_qa_context
Dataset Card for truthful_qa_context
Dataset Summary
TruthfulQA Context is an extension of the TruthfulQA benchmark, specifically designed to enhance its utility for models that rely on Retrieval-Augmented Generation (RAG). This version includes the original questions and answers from TruthfulQA, along with the added context text directly associated with each question. This additional context aims to provide immediate reference material for models, making it particularly… See the full description on the dataset page: https://huggingface.co/datasets/portkey/truthful_qa_context.truthful_qa_italian
TruthfulQA - Italian (IT)
This dataset is an Italian translation of TruthfulQA. TruthfulQA is a dataset for fact-based question answering, which contains questions that require factual knowledge to answer correctly. These questions are designed so that some humans would answer them incorrectly because of common misconceptions.
Dataset Details
The dataset is a question answering dataset that contains questions that require factual knowledge to answer correctly and avoid… See the full description on the dataset page: https://huggingface.co/datasets/sapienzanlp/truthful_qa_italian.truthful_qa_preferencestruthfulqa_va
TRUTHFULQA_VA Dataset
Dataset Summary
TruthfulQA_va is the Valencian version of the TruthfulQA dataset. This dataset is used to measure the truthfulness of a language model when generating answers to questions. It includes questions from different categories that some humans would answer wrongly due to false beliefs or misconceptions. Note that this version includes only the generation split.
Dataset Structure
Each row in the dataset includes the following… See the full description on the dataset page: https://huggingface.co/datasets/gplsi/truthfulqa_va.truthfulqa_indicOriginal Repository
Tasks (from original repository)
Generation (main task):
Task: Given a question, generate a 1-2 sentence answer.
Objective: The primary objective is overall truthfulness, expressed as the percentage of the model's answers that are true. Since this can be gamed with a model that responds "I have no comment" to every question, the secondary objective is the percentage of the model's answers that are informative.
Future Work:
Validate… See the full description on the dataset page: https://huggingface.co/datasets/vakyansh/truthfulqa_indic.truthfulqa-okapi-eval-es
TruthfulQA translated to Spanish
This dataset was generated by the Natural Language Processing Group of the University of Oregon, where they used the
original TruthfulQA dataset in English and translated it into different languages using ChatGPT.
This dataset only contains the Spanish translation, but the following languages are also covered within the original
subsets posted by the University of Oregon at http://nlp.uoregon.edu/download/okapi-eval/datasets/.
Disclaimer… See the full description on the dataset page: https://huggingface.co/datasets/alvarobartt/truthfulqa-okapi-eval-es.solarhive-community-solar-multimodal
SolarHive Community Solar Dataset
Canonical training corpus for the SolarHive family of fine-tuned Gemma 4 models. 1,727 rows (1,713 text + 14 image-grounded).
A combined text + sky-image training corpus for community solar energy intelligence. Built to fine-tune Gemma 4 into an AI energy advisor for residential solar microgrids — answering questions about production, storage, grid mix, weather impact, maintenance scheduling, and cross-source planning, with native… See the full description on the dataset page: https://huggingface.co/datasets/Truthseeker87/solarhive-community-solar-multimodal.truthful_qa_tr
Dataset Card
"truthful_qa" translated to Turkish.
Usage
dataset = load_dataset('Atilla00/truthful_qa_tr', 'generation')
dataset = load_dataset('Atilla00/truthful_qa_tr', 'multiple_choice')
tiny-truthful-qa
Dataset Card for TruthfulQA
Dataset Details
Dataset Description
TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 790 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from… See the full description on the dataset page: https://huggingface.co/datasets/rahmanidashti/tiny-truthful-qa.news-truthfulThis the dataset for Every Language Counts: Learn and Unlearn in Multilingual LLMs.
Each of the 100 row contains a GPT generated 'real' news article, a corresponding 'fake' news article with injected fake information, and the 'fake' keyword.
It contains 10 Q&A pairs on 'real' news for instruction tunning.
We also provide one question to evaluate 'real' news understanding and another question to count the appearance of 'fake' detail.
Note: The dataset contains news articles with fake… See the full description on the dataset page: https://huggingface.co/datasets/TaiMingLu/news-truthful.trump-truth-social
Trump Truth Social Posts Archive
Public posts ("Truths") by Donald J. Trump on Truth Social, enriched with market data, geopolitical event indicators, and LLM-based post classifications. Collected for academic research purposes.
Fields
Post metadata
Field
Type
Description
date
string
Post date (YYYY-MM-DD)
time
string
Post time in UTC (HH:MM:SS)
time_eastern
string
Post time in US Eastern (HH:MM:SS, DST-aware)
day_of_week
string
Day name… See the full description on the dataset page: https://huggingface.co/datasets/audbay/trump-truth-social.team-truthowl-mixed-reasoning-dataset
Team P11 Mixed Reasoning Dataset
📊 Dataset description
HLE（Humanity's Last Exam）向けに作成した、数学中心＋科学MCの混合推論データセットです。
推論過程（Chain-of-Thought）を保持し、最終解答の正規化を行っています。
対象モデルは DeepSeek-R1-Distill-Qwen-32B、学習はQLoRAを想定しています。
🎯 Purpose
Competition: 松尾研LLMコンペ 2025
Target Model: DeepSeek-R1-Distill-Qwen-32B
Training Method: QLoRA Fine-tuning（4bit NF4, double quant）
📦 Composition
Math Hard（MATH Level≥3, HARDMath）
Math Mid（GSM8K, MetaMathQA）
Science（GPQA… See the full description on the dataset page: https://huggingface.co/datasets/weblab-llm-competition-2025-bridge/team-truthowl-mixed-reasoning-dataset.truthful_qa
Dataset Card for truthful_qa
Dataset Summary
TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. Questions are crafted so that some humans would answer falsely due to a false belief or misconception. To perform well, models must avoid generating false answers learned from imitating human texts.… See the full description on the dataset page: https://huggingface.co/datasets/leibni/truthful_qa.distilabel_first100_truthy-dpo-v0.1A small subset of https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1 with rating scores added to each row using distilabel's preference dataset cleaning example.
truthfulqa_italian
TruthfulQA - Italian (IT)
This dataset is an Italian translation of TruthfulQA. TruthfulQA is a dataset for fact-based question answering, which contains questions that require factual knowledge to answer correctly. These questions are designed so that some humans would answer them incorrectly because of common misconceptions.
Dataset Details
The dataset is a question answering dataset that contains questions that require factual knowledge to answer correctly and avoid… See the full description on the dataset page: https://huggingface.co/datasets/s-conia/truthfulqa_italian.hf-ground-truth-corpus
HuggingFace Ground Truth Corpus (HF-GTC)
Curated Python recipes for HuggingFace ML patterns with 98.46% test coverage.
Dataset Description
HF-GTC is a collection of high-quality Python code implementing common HuggingFace patterns:
Hub Operations: Cards, repositories, Spaces API
Preprocessing: Tokenization, streaming, augmentation
Training: Fine-tuning, LoRA, QLoRA, callbacks
Inference: Pipeline operations, batch processing
Evaluation: Metrics, benchmarks, leaderboards… See the full description on the dataset page: https://huggingface.co/datasets/paiml/hf-ground-truth-corpus.truthful_qa_ita
Dataset Card TruthfulQA (ita)
This dataset is a machine-translated version of truthful_qa into Italian.
Licensed under CC-BY 4.0
Translated with TowerInstruct-7B-v0.2
More details and code used for translation will follow shortly.
The rest of the page is WIP :)
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP):… See the full description on the dataset page: https://huggingface.co/datasets/RiTA-nlp/truthful_qa_ita.trump-truth-social
Trump Truth Social Posts Archive
Public posts ("Truths") by Donald J. Trump on Truth Social, enriched with market data, geopolitical event indicators, and LLM-based post classifications. Collected for academic research purposes.
Fields
Post metadata
Field
Type
Description
date
string
Post date (YYYY-MM-DD)
time
string
Post time in UTC (HH:MM:SS)
time_eastern
string
Post time in US Eastern (HH:MM:SS, DST-aware)
day_of_week
string
Day name… See the full description on the dataset page: https://huggingface.co/datasets/susan0322/trump-truth-social.