datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hle-public-questionsforbidden_question_set
Forbidden Question Set
This is the Forbidden Question Set dataset proposed in the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.
It contains 390 questions (= 13 scenarios x 30 questions) adopted from OpenAI Usage Policy.
We exclude Child Sexual Abuse scenario from our evaluation and focus on the rest 13 scenarios, including Illegal Activity, Hate Speech, Malware Generation, Physical Harm, Economic Harm… See the full description on the dataset page: https://huggingface.co/datasets/TrustAIRLab/forbidden_question_set.Traditional-Chinese-Medicine-Multiple_choice_question
Discription
This dataset is sourced from the website of the Ministry of Examination, R.O.C (Taiwan) and contains past exam questions from the national Traditional Chinese Medicine examinations in Taiwan. The exam comprises six subjects. This dataset specifically includes questions from two subjects, including the History of Traditional Chinese Medicine, Basic Theories of Traditional Chinese Medicine, Neijing, Nanjing, Traditional Chinese Medicine Prescription Studies, and… See the full description on the dataset page: https://huggingface.co/datasets/Liavan/Traditional-Chinese-Medicine-Multiple_choice_question.election_questions
Election Evaluations Dataset
Dataset Summary
This dataset includes some of the evaluations we implemented to assess language models' ability to handle election-related information accurately, harmlessly, and without engaging in persuasion targeting.
Dataset Description
The dataset consists of three CSV files, each focusing on a specific aspect of election-related evaluations:
eu_accuracy_questions.csv:
Contains information-seeking questions about European… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/election_questions.Flutter-Code-with-Questions-Dataset-Turkish
Flutter Code with Questions Dataset (Turkish)
📦 Dataset Name: flutter_code_with_questions
Bu veri seti, Flutter framework'ü ile yazılmış kod parçacıkları ve her bir kod parçası için özel olarak üretilmiş detaylı Türkçe soruları içermektedir. Veri seti, kodların eğitim verisi olarak kullanılmasının yanı sıra, LLM (Large Language Model) tabanlı kod anlama ve soru yanıtlama modellerinin geliştirilmesinde kullanılabilir.
📁 Dataset Format
Veri dosyaları CSV… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-Turkish.question-type-and-complexity
Question Type and Complexity (QTC) Dataset
Dataset Overview
The Question Type and Complexity (QTC) dataset is a comprehensive resource for linguistics/NLP research focusing on question classification and linguistic complexity analysis across multiple languages. It contains questions from two distinct sources (TyDi QA and Universal Dependencies v2.15), automatically annotated with question types (polar/content) and a set of linguistic complexity features.
Key Features:
2… See the full description on the dataset page: https://huggingface.co/datasets/rokokot/question-type-and-complexity.one-million-reddit-questions
Dataset Card for one-million-reddit-questions
Dataset Summary
This corpus contains a million posts on /r/AskReddit, annotated with their score.
Languages
Mainly English.
Dataset Structure
Data Instances
A data point is a Reddit post.
Data Fields
'type': the type of the data point. Can be 'post' or 'comment'.
'id': the base-36 Reddit ID of the data point. Unique when combined with type.
'subreddit.id': the base-36 Reddit ID of… See the full description on the dataset page: https://huggingface.co/datasets/SocialGrep/one-million-reddit-questions.Maths_competition_questionsextractive_qa_question_answering_hr
Dataset Card
HR-Multiwoz is a fully-labeled dataset of 5980 extractive qa spanning 10 HR domains to evaluate LLM Agent. It is the first labeled open-sourced conversation dataset in the HR domain for NLP research.
Please refer to HR-MultiWOZ: A Task Oriented Dialogue (TOD) Dataset for HR LLM Agent for details about the dataset construction.
Dataset Sources
Repository: xwjzds/extractive_qa_question_answering_hr
Paper: HR-MultiWOZ: A Task Oriented Dialogue (TOD)… See the full description on the dataset page: https://huggingface.co/datasets/xwjzds/extractive_qa_question_answering_hr.2025-Jee-Mains-QuestionFlutter-Code-with-Questions-Dataset-English
🧠 Flutter Code with Questions Dataset (English)
This repository contains a high-quality dataset of Flutter-related code snippets paired with automatically generated English technical questions. The dataset is intended for use in training and fine-tuning language models, coding assistants, and educational systems focused on Flutter development.
📂 Dataset Structure
The dataset is divided into 22 CSV files, each containing 200 entries. Every entry includes:
A… See the full description on the dataset page: https://huggingface.co/datasets/NoirZangetsu/Flutter-Code-with-Questions-Dataset-English.OWASP-question-answer-datasettamil-question-answering-datasetthis dataset contains 5 columns
context, question, answer_start, answer_text, source
Column
Description
context
A general small paragraph in tamil language
question
question framed form the context
answer_text
text span that extracted from context
answer_start
index of answer_text
source
who framed this context, question, answer pair
source
team KBA => (Karthi, Balaji, Azeez) these people manually created
CHAII =>a kaggle competition
XQA => multilingual QA… See the full description on the dataset page: https://huggingface.co/datasets/AswiN037/tamil-question-answering-dataset.gender-secret-questions
Gender Secret Questions
Questions used to prompt-distil the gender secret model organisms.
questions_beecrowd_nepsgender-secret-questions-old
Gender Secret Questions
Questions used to prompt-distil the gender secret model organisms.
Quora-Question-Pairs
Quora Question Pairs — canonical 2017 release
A verbatim mirror of Quora's January 2017 Question Pairs release, packaged as a single tab-delimited file. No rows added, removed, or reordered relative to the upstream quora_duplicate_questions.tsv — only the hosting moved.
Re-hosted under Heliosoph for ingestion-pipeline stability — Quora's original CDN at qim.fs.quoracdn.net has been intermittently unreachable since the Kaggle competition wrapped, and the file has no checksumed… See the full description on the dataset page: https://huggingface.co/datasets/Heliosoph/Quora-Question-Pairs.granola-entity-questions
GRANOLA Entity Questions Dataset Card
Dataset details
Dataset Name: GRANOLA-EQ (Granularity of Labels Entity Questions)
Paper: Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
Abstract: Factual questions typically can be answered correctly at different levels of granularity. For example, both "August 4, 1961" and "1961" are correct answers to the question "When was Barack Obama born?"". Standard question answering (QA)… See the full description on the dataset page: https://huggingface.co/datasets/google/granola-entity-questions.polish-question-passage-pairsquestion-answerOWASP-and-NVD-question-answer-datasetntu_adl_questionquestion-answering-ukrainian-json-answersquestion-answering-ukrainianQuestion-Answering-Generation-Choices
The dataset is a merged compilation of QuAIL, RACE, and Cosmos QA datasets,
having undergone preprocessing.
xai-questions-datasetExplore the questions users have for robots across a diverse set of situations!
You can read the paper here: What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics!
from datasets import load_dataset
dataset = load_dataset("lwachowiak/xai-questions-dataset")
dataset['train'][0]
The analysis code can be found on GitHub
Paper Abstract
With the increased use of large language models and conversational interfaces in human–robot… See the full description on the dataset page: https://huggingface.co/datasets/lwachowiak/xai-questions-dataset.Dermatology-Question-Answer-Dataset-For-Fine-Tuning
Dataset Details
The data set has about 1 Million Tokens for Training and about 1500 question answers.
Dataset Description
This dataset is a comprehensive compilation of questions related to dermatology, spanning inquiries about various skin diseases, their symptoms, recommended medications, and available treatment modalities. Each question is paired with a concise and informative response, making it an ideal resource for training and fine-tuning language models in the… See the full description on the dataset page: https://huggingface.co/datasets/Mreeb/Dermatology-Question-Answer-Dataset-For-Fine-Tuning.sat-questions-and-answers-for-llm
SAT History Questions and Answers 🏛️ - Text Classification Dataset
This dataset contains a collection of questions and answers for the SAT Subject Test in World History and US History. Each question is accompanied by a corresponding answers and the correct response.
The dataset includes questions from various topics, time periods, and regions on both World History and US History.
💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/sat-questions-and-answers-for-llm.students-coding-questions-from-ai-assistant
Dataset Documentation
Overview
This dataset contains 6776 questions asked by students from CodeAid, an AI coding assistant, during a C programming class over a 12-week semester from January to April 2023. The course did not allow the use of ChatGPT, but CodeAid was permitted. CodeAid, powered by GPT-3, did not directly disclose code solutions even when requested by students. Instead, it functioned like a teaching assistant, providing scaffolded responses in natural… See the full description on the dataset page: https://huggingface.co/datasets/majeedkazemi/students-coding-questions-from-ai-assistant.Interview-questionsannotations_creators:
crowdsourced
machine-generated
language:
en
language_creators:
machine-generated
crowdsourced
license:
other
multilinguality:
monolingual
pretty_name: 'interview-questions-on-Programming-languages
'
size_categories:
n<1K
source_datasets:
original
tags:
interview-questions
task_categories:
text-generation
task_ids:
language-modeling