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.Legal_Corpus_QA_SynDeepThink
🧠 Legal Corpus QA SynDeepThink Dataset
This repository contains a high-intelligence Legal Question-and-Answer dataset, generated through an advanced Iterative and Recursive Thinking process. It bridges the gap between static legal corpora and the dynamic "check-and-recheck" nature of human legal expertise. 🏛️
💡 The Concept: Iterative & Recursive Legal Logic
While standard synthetic datasets are often generated in a single pass, Legal_Corpus_QA_SynDeepThink mimics the… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/Legal_Corpus_QA_SynDeepThink.cybersecurity-qa-v2
Cybersecurity Q&A Dataset v2 — 2.6M Examples
A large-scale cybersecurity Q&A dataset for fine-tuning LLMs on security topics.
2,621,468 examples covering vulnerabilities, attack techniques, weaknesses, and defensive strategies.
Statistics
Source
Examples
Description
NIST NVD CVE Database
~1,954,225
All CVEs (2002–2025): overview, severity, detection, remediation
AlicanKiraz0/All-CVE-Records-Training-Dataset
~297,441
Detailed CVE analysis with markdown… See the full description on the dataset page: https://huggingface.co/datasets/rezaduty/cybersecurity-qa-v2.ID_Legal_QA_SynDeepThink
🧠 Indonesian Legal QA SynDeepThink Dataset
This repository hosts a specialized Indonesian Legal QA dataset that incorporates a Deep Thinking Phase. It is engineered for researchers and developers focusing on high-level judicial reasoning and complex regulatory analysis. 🏛️
💡 The Concept: Deep Thinking vs. Standard QA
While standard models often provide "System 1" (snap) judgments, the SynDeepThink approach simulates "System 2" (slow, deliberate) thinking. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/ID_Legal_QA_SynDeepThink.context_qa_sum_qwen3_synthetic
Context-based QA and Summarization Synthetic Dataset
Overview
This dataset contains synthetic context-based question-answering (QA) and summarization data. The data was synthesized using:
Source context: openbmb/Ultra-FineWeb
Synthesis model: Qwen3-30B-A3B-Instruct-2507
Each context is obtained by taking the initial segment of raw pretraining text from Ultra-FineWeb, truncated to at most the corresponding number of tokens, while ensuring the truncation does not occur in… See the full description on the dataset page: https://huggingface.co/datasets/yuyijiong/context_qa_sum_qwen3_synthetic.ledger-long-context-KPI-QA
LEDGER — Long-Context KPI Question Answering & Page Retrieval
This dataset is part of the LEDGER (Long-context Evaluation of Documents for
Grounded Extraction and Retrieval) benchmark.
It supports two of the three LEDGER tasks:
Page-level KPI retrieval — given a natural-language question about a financial
KPI and the corresponding annual report, retrieve the relevant page(s). Each row
includes TREC-style graded relevance judgments (qrels) over all candidate pages.… See the full description on the dataset page: https://huggingface.co/datasets/artefactory/ledger-long-context-KPI-QA.ID_Legal_QA_SynThink
🧠 Indonesian Legal QA Synthetic Think Dataset (ID_Legal_QA_SynThink)
This repository features an advanced Synthetic Question-and-Answer dataset for the Indonesian legal domain, distinguished by the inclusion of an explicit Thinking Phase (Chain-of-Thought). 🏛️
💡 The Concept: Transparent Legal Reasoning
Standard QA datasets often provide just the "final answer." This dataset goes deeper by capturing the internal reasoning process of the model before it arrives at a… See the full description on the dataset page: https://huggingface.co/datasets/Azzindani/ID_Legal_QA_SynThink.nuclear-intelligence-dataset
Nuclear Intelligence Dataset
Public, auto-generated dataset of validated nuclear-energy research cycles.
Latest stats (auto-updated):
🪙 NES tokens minted: 0
⛓️ Blockchain length: 1 blocks
🕸️ Knowledge entities: 2
Source
GitHub: https://github.com/QalamHipHop/nuclear-intelligence
HF Space: https://huggingface.co/spaces/Qalam/Nuclear-Intelligence
License
MIT
nuscenes-qa-mini
NuScenes-QA-mini Dataset
TL;DR:
This dataset is used for multimodal question-answering tasks in autonomous driving scenarios. We created this dataset based on nuScenes-QA dataset for evaluation in our paper Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI. The samples are divided into day and night scenes.
scene
# train samples
# validation samples
day
2,229
2,229
night
659
659
Each sample contains… See the full description on the dataset page: https://huggingface.co/datasets/KevinNotSmile/nuscenes-qa-mini.SWE-QA-Benchmark
SWE-QA Benchmark
A comprehensive benchmark dataset for Software Engineering Question Answering, containing 720 questions across 15 popular Python repositories.
Dataset Summary
Total Questions: 720
Repositories: 15
Format: JSONL (JSON Lines)
Fields: question, answer
Repository Coverage
Each repository contains 48 questions:
astropy
conan
django
flask
matplotlib
pylint
pytest
reflex
requests
scikit-learn
sphinx
sqlfluff
streamlink
sympy
xarray… See the full description on the dataset page: https://huggingface.co/datasets/swe-qa/SWE-QA-Benchmark.huatuo_encyclopedia_qa
Dataset Card for Huatuo_encyclopedia_qa
Dataset Summary
This dataset has a total of 364,420 pieces of medical QA data, some of which have multiple questions in different ways. We extract medical QA pairs from plain texts (e.g., medical encyclopedias and medical articles). We collected 8,699 encyclopedia entries for diseases and 2,736 encyclopedia entries for medicines on Chinese Wikipedia. Moreover, we crawled 226,432 high-quality medical articles from the Qianwen Health… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_encyclopedia_qa.medical-qa-fr-v0.1
Medical QA (FR) v0.1
A French medical instruction-tuning dataset (~508K examples) compiled from three public medical QA / dialogue sources:
ruslanmv/ai-medical-chatbot — 256,010 examples (config ai_medical_chatbot, default)
lavita/medical-qa-datasets (all-processed config) — 230,041 examples (config medical_qa_datasets)
FreedomIntelligence/Medical-R1-Distill-Data — 21,641 examples (config medical_r1_distill_data)
Each source question was machine-translated into French, then a… See the full description on the dataset page: https://huggingface.co/datasets/bofenghuang/medical-qa-fr-v0.1.uscode_qacA compact question-answer set for the Prime Intellect U.S. legal evaluation environment. Each record pairs a natural-language question with an extractive answer and the source statute snippet drawn from the Cornell Law School Legal Information Institute (LII) U.S. Code site. Fields also include title_id, section_id, and section_url to support retrieval-style evaluations; the snippet lives in context and is used to build the search index rather than being passed directly to the model.… See the full description on the dataset page: https://huggingface.co/datasets/emre570/uscode_qac.mimic-medical-imaging-qa
MIMIC Medical Imaging QA Dataset
5,207 Bloom's-taxonomy-stratified question--answer pairs derived from 23 medical imaging lectures (RPI BMED 2300). The dataset supports the paper "MIMIC: A Course-Derivation Pipeline and Benchmark for Slide-Anchored Tutoring with a Domain-Adapted Large Language Model" and was used to fine-tune MIMIC-LM, a domain-adapted Llama-3.1-8B-Instruct model for grounded medical imaging instruction.
License
The benchmark annotations, dataset… See the full description on the dataset page: https://huggingface.co/datasets/zabir1996/mimic-medical-imaging-qa.open-australian-legal-qa
Open Australian Legal QA ⚖️
Open Australian Legal QA by Isaacus is the first open dataset of Australian legal questions and answers.
Comprised of 2,124 questions and answers synthesised by gpt-4 from the Open Australian Legal Corpus, the largest open database of Australian law, the dataset is intended to facilitate the development of legal AI assistants in Australia.
To ensure its accessibility to as wide an audience as possible, the dataset is distributed under the same licence… See the full description on the dataset page: https://huggingface.co/datasets/isaacus/open-australian-legal-qa.visual-qa-llama-format
Open Paws Visual Qa Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Multimodal Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/visual-qa-llama-format.meddies-qa
Meddies QA
Vietnamese medical question-answer data reorganized into five domain groups, with chat-template QA rows and user-only question-bank configs for generation workflows.
[!IMPORTANT]
This is a research and training dataset, not clinical guidance. The answers are machine-generated and cleaned from a source medical corpus; review them before using them in products, clinical education, or patient-facing systems.
Why this dataset
Good… See the full description on the dataset page: https://huggingface.co/datasets/Meddies/meddies-qa.earnings-calls-qa
Lamini Earning Calls QA Dataset
Description
This dataset contains transcripts of earning calls for various companies, along with questions and answers related to the companies' financial performance and other relevant topics.
Format
The transcripts, questions, and answers are in the form of jsonlines files, with each json object in the file containing the transcript of an earning call for a single company.
Data Pipeline Code
The entire data pipeline… See the full description on the dataset page: https://huggingface.co/datasets/lamini/earnings-calls-qa.UDA-QA
Dataset Card for Dataset Name
[NIPS-2024] UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis (https://arxiv.org/abs/2406.15187)
UDA (Unstructured Document Analysis) is a benchmark suite for Retrieval Augmented Generation (RAG) in real-world document analysis.
Each entry in the UDA dataset is organized as a document-question-answer triplet, where a question is raised from the document, accompanied by a corresponding ground-truth answer.
The… See the full description on the dataset page: https://huggingface.co/datasets/qinchuanhui/UDA-QA.QAlg
QAlg Humanize-Physic Formalizations and Proofs
QAlg (Quantum Algorithms) is a blind benchmark for formalizing theorems in quantum algorithms. It evaluates whether an AI agent can faithfully translate natural-language and TeX problem statements into Lean 4 theorems and then construct formal proofs checked by the Lean kernel. Its 36 tasks cover quantum circuits, linear algebra, the quantum Fourier transform, Hamiltonian simulation, hidden subgroups, QSP/QSVT, and parameterized… See the full description on the dataset page: https://huggingface.co/datasets/humanfia-lab/QAlg.usa-immigration-law-qa
USA Immigration Law Q&A Dataset
A large-scale, source-grounded Q&A dataset covering U.S. immigration law and policy,
built entirely from official government sources, open legal datasets, and curated
community materials. Complete pipeline available at https://github.com/nshportun/usa-immigration and pre-print https://arxiv.org/abs/2605.30589
Dataset Contents
Split
Records
Description
train
16,065
Training Q&A pairs
eval
993
Stratified held-out… See the full description on the dataset page: https://huggingface.co/datasets/nshportun/usa-immigration-law-qa.huatuo_consultation_qa
Dataset Card for huatuo_consultation_qa
Dataset Summary
We collected data from a website for medical consultation , consisting of many online consultation records by medical experts. Each record is a QA pair: a patient raises a question and a medical doctor answers the question. The basic information of doctors (including name, hospital organization, and department) was recorded.
We directly crawl patient’s questions and doctor’s answers as QA pairs, getting 32,708,346… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_consultation_qa.fiftyone-qa-pairs-14k
FiftyOne QA 14k Dataset
Overview
This dataset is derived from the FiftyOne Function Calling 14k dataset and is designed to train AI assistants to understand and answer questions about FiftyOne's functionality.
Purpose
Train AI models to understand FiftyOne-related queries
Provide examples of FiftyOne syntax
Map natural language questions to appropriate FiftyOne code snippets
Demonstrate correct usage for FiftyOne functions and method calls
This dataset was… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/fiftyone-qa-pairs-14k.huatuo_knowledge_graph_qa
Dataset Card for Huatuo_knowledge_graph_qa
Dataset Summary
We built this QA dataset based on the medical knowledge map, with a total of 798,444 pieces of data, in which the questions are constructed by means of templates, and the answers are the contents of the entries in the knowledge map.
Dataset Creation
Source Data… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/huatuo_knowledge_graph_qa.ameli-assurance-maladie-qa
Ameli Assurance Maladie - Question Answering Dataset
Description
Dataset de 100 paires question-réponse (QA) basé sur les publications officielles de l'Assurance Maladie française, extraites du site assurance-maladie.ameli.fr.
Conçu pour évaluer des systèmes de RAG (Retrieval-Augmented Generation) sur des documents institutionnels français dans le domaine de la santé publique et de la protection sociale.
Format du dataset
{
"question": "Quel article du… See the full description on the dataset page: https://huggingface.co/datasets/alianassmaaa/ameli-assurance-maladie-qa.webglm-qa
WebGLM-QA
Dataset Description
WebGLM-QA is the dataset used to train the WebGLM generator module. It consists of 43,579 high-quality data samples for the train split, 1,000 for the validation split, and 400 for the test split. Refer to our paper for the data construction details.
Dataset Structure
To load the dataset, you can try the following code.
from datasets import load_dataset
load_dataset("THUDM/webglm-qa")
DatasetDict({
train: Dataset({… See the full description on the dataset page: https://huggingface.co/datasets/zai-org/webglm-qa.turkce-sft-qa-3.7m
🇹🇷 Turkish SFT/QA — Birleştirilmiş ve Tekrarsız Veri Seti
3,723,264 örnek. 24 açık Türkçe SFT/QA veri setinin, satır düzeyinde
tekrar temizliği ve kalite kontrolünden geçirilmiş birleşimi. Her satır hangi veri
setinden geldiğini taşır.
English: A merged, row-level deduplicated and quality-filtered collection of
24 open Turkish SFT/QA datasets (3,723,264 examples). Every row carries
its source dataset, source URL and original license.
🙏 Teşekkür /… See the full description on the dataset page: https://huggingface.co/datasets/MercanAI/turkce-sft-qa-3.7m.TinyBooks-QA-Chinese本数据集已停止更新，请移步https://huggingface.co/datasets/fzmnm/TinyStoriesAdv-zh
TinyBooks-QA-Chinese
Inspired by the (TinyStories)[https://arxiv.org/abs/2305.07759] paper, where a small language model exhibits strong capabilities when trained on high-quality, 🍼baby-friendly stories synthesized by AI, I present an AI-generated Encyclopedia suitable for kindergarten and grade school levels.
This AI-synthesized dataset converts classical literature into a question-answer style curriculum with… See the full description on the dataset page: https://huggingface.co/datasets/fzmnm/TinyBooks-QA-Chinese.JavaError-QA
JErrRAG-Eval-800
JErrRAG-Eval-800 is the public benchmark release aligned with the paper's final canonical dataset and non-anonymous archival record.
This Hugging Face repository contains:
java_error_qa_v2/: the canonical public benchmark package
paper_online_artifacts/: the paper-facing supplementary artifacts and reproduction bundles
SHA256SUMS.txt: release-side hash anchors referenced by the paper
Dataset Summary
Total records: 800
Split sizes: train=639… See the full description on the dataset page: https://huggingface.co/datasets/HTJ008/JavaError-QA.sec-filings-qa-instruct
SEC Filings Instruction-Tuning Dataset (Llama-3 Format)
This dataset contains 5,000 curated, instruction-formatted question-answering pairs derived from corporate SEC filings (Forms 10-K and 10-Q). It is structured specifically for parameter-efficient instruction fine-tuning (SFT/QLoRA) of Small Language Models using the standard Llama-3 ChatML template.
Dataset Details
Origin Source: Curated subset extracted from nvidia/Nemotron-SpecializedDomains-Finance-v1.… See the full description on the dataset page: https://huggingface.co/datasets/lateesha-bhatia/sec-filings-qa-instruct.