datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
researchy_questions
Introduction
Researchy Questions is a set of about 100k Bing queries that users spent the most effort on. After a labor-intensive filtering funnel from billions of queries, these "needles in the haystack" are non-factoid, multi-perspective questions that probably require a lot of sub-questions and research in order to answer adequetly. These questions are shown to be harder than other open domain QA datasets like Natural Questions.
The train dataset has about 90k samples.… See the full description on the dataset page: https://huggingface.co/datasets/corbyrosset/researchy_questions.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.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.forecastbench-single_question
ForecastBench Single Questions
This dataset contains single-ID forecasting questions derived from the ForecastBench project. It includes two configurations:
forecastbench_single_questions_2024-12-08: Contains 429 forecasting questions with resolved real-world outcomes.
forecastbench_single_questions_human_2024-07-21: Contains 473 questions with resolved real-world outcomes, augmented with human forecast probabilities from public and superforecaster groups.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Duruo/forecastbench-single_question.wb-questions
Dataset Card for Wildberries questions
Dataset Summary
This is a dataset of questions and answers scraped from product pages from the Russian marketplace Wildberries. Dataset contains all questions and answers, as well as all metadata from the API. However, the "productName" field may be empty in some cases because the API does not return the name for old products.
Languages
The dataset is mostly in Russian, but there may be other languages present.… See the full description on the dataset page: https://huggingface.co/datasets/nyuuzyou/wb-questions.yher-chemistry-question-bank
YHer Chemistry Question Bank
The data layer of an evidence-bound diagnostic learning system for Shanghai high-school chemistry (Chris-TLC/YHer-skill).
Every record in this dataset is derived from publicly released Shanghai gaokao and mock examination papers through deterministic mechanical structuring: text extraction, layout repair, and answer alignment. No content is model-generated.
What's inside
The dataset ships in two configs:
Config
Records
Content… See the full description on the dataset page: https://huggingface.co/datasets/Chris-TLC/yher-chemistry-question-bank.ntu_adl_questionis-trivia-questions
Icelandic trivia questions
Icelandic trivia question compiled and created by Sveinn Steinarsson, Valur Freyr Steinarsson, and Svavar Kjarrval https://github.com/sveinn-steinarsson/is-trivia-questions
Dálkanúmer
Valfrjálst
Lýsing
1
Nei
Flokkanúmer
2
Já
Undirflokkur ef til staðar
3
Nei
Erfiðleikastig: 1: Létt, 2: Meðal, 3: Erfið
4
Já
Gæðastig: 1: Slöpp, 2: Góð, 3: Ágæt
5
Nei
Spurningin
6
Nei
Svarið
Flokkanúmer
Flokkanafn
1
Almenn kunnátta
2
Náttúra… See the full description on the dataset page: https://huggingface.co/datasets/Sigurdur/is-trivia-questions.quran-question-answer-context
Dataset Card for "quran-question-answer-context"
Dataset Summary
Translated the original dataset from Arabic to English and added the Surah ayahs to the context column.
Usage
from datasets import load_dataset
dataset = load_dataset("nazimali/quran-question-answer-context")
DatasetDict({
train: Dataset({
features: ['q_id', 'question', 'answer', 'q_word', 'q_topic', 'fine_class', 'class', 'ontology_concept', 'ontology_concept2', 'source', 'q_src_id'… See the full description on the dataset page: https://huggingface.co/datasets/nazimali/quran-question-answer-context.eu-tenders-with-questions-for-agentic-checklist-filling
eu-tenders-with-questions-for-agentic-checklist-filling
Dataset Description
This dataset contains questions and answers for evaluating Retrieval-Augmented Generation (RAG) systems in the context of generative agentic checklist-filling. The dataset is designed to benchmark various RAG architectures (Hybrid RAG, Graph RAG, Multi-Hop/Agentic RAG) on document analysis tasks.
Dataset Summary
Total Questions: 97
Document Families: 7
Languages: EN
Domain: Procurement… See the full description on the dataset page: https://huggingface.co/datasets/tmskss/eu-tenders-with-questions-for-agentic-checklist-filling.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.med-synth-questions-gemma-3-27b-deepseek-v4-flash
Med Synth Questions (Gemma-3 + DeepSeek V4 Flash)
Synthetic reasoning traces and answers for medical questions from openmed-community/med-synth-questions-gemma-3-27b-it. Each record contains a medical question with SYNTH-style reasoning and a generated answer by DeepSeek V4 Flash.
Dataset Summary
29,148 records (2 dupes + 3,410 incomplete/truncated removed from 32,560 source)
29,148 reasoning turns (99.2% format compliance)
Average 1,591 chars per reasoning trace… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/med-synth-questions-gemma-3-27b-deepseek-v4-flash.mmlu_hinted_questions
MMLU Hinted Questions
Dataset Description
This dataset contains multiple-choice questions derived from MMLU and augmented with misleading hints. The misleading hints are intentionally designed to point to an incorrect answer.
The dataset was developed as part of the UnfaithRL project, which studies cue-following and unfaithful reasoning under reinforcement learning with verifiable rewards.
Specifically, it was used to investigate whether language models follow… See the full description on the dataset page: https://huggingface.co/datasets/UnfaithRL/mmlu_hinted_questions.synthlabs-openmed-questions-qwen3-235b-a22b-2507
Med Synth Questions (Qwen3-235B questions + DeepSeek V4 Flash and Minimax M2.7 answers)
Synthetic reasoning traces for medical questions from openmed-community/med-synth-questions-qwen3-235b-a22b-2507. Each record contains a medical question with SYNTH-style reasoning and a generated answer.
Dataset Summary
55,915 records (255 dupes + 3,523 incomplete/truncated removed from 59,693 source)
55,915 reasoning turns (99.9% format compliance)
Average 1,881 chars per… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/synthlabs-openmed-questions-qwen3-235b-a22b-2507.arabic_dialects_question_and_answerData Content
The file provided: Q/A Reasoning dataset
contains the following columns:
ID # : Denotes the reference ID for:
a. Question
b. Answer to the question
c. Hint
d. Reasoning
e. Word count for items a to d above
Dialects: Contains the following dialects in separate columns:
a. English
b. MSA
c. Emirati
d. Egyptian
e. Levantine Syria
f. Levantine Jordan
g. Levantine Palestine
h. Levantine Lebanon
Data Generation Process
The following are the steps that were followed to curate the data:… See the full description on the dataset page: https://huggingface.co/datasets/CNTXTAI0/arabic_dialects_question_and_answer.rewrite-questions-real-words-sciency
real_words_sciency.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file real_words_sciency.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-real-words-sciency.rewrite-questions-nonsensical-biology
nonsensical_biology.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file nonsensical_biology.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-nonsensical-biology.rewrite-questions-gibberish
gibberish.csv - Question Rewriting Dataset
This dataset contains question rewriting outputs from the file gibberish.csv.
Dataset Structure
The dataset contains the following columns:
custom_id: Unique identifier for each question
style: Rewriting style applied (e.g., "gibberish")
index: Numerical index
original: Original question text
rewritten: Rewritten version of the question
options: Multiple choice options (list format)
correct: Index of the correct answer… See the full description on the dataset page: https://huggingface.co/datasets/NLie2/rewrite-questions-gibberish.esperanto-boolq-questions
esperanto-boolq-questions
BoolQ questions (train + validation, 12,697 rows) translated from
English to Esperanto by
jensjepsen/eo-mt-v13-large-bidir,
with round-trip quality metadata for filtering.
Row schema
field
description
orig_idx
original BoolQ row index (train first, then validation)
split
source split (train / validation)
en_orig
raw BoolQ question (lowercase, no ?, as in google/boolq)
en_preproc
preprocessed input fed to MT: spaCy… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/esperanto-boolq-questions.mmlu_mixed_questions
MMLU Mixed Hinted and Unhinted Questions
Dataset Description
This dataset contains multiple-choice questions derived from MMLU and augmented with misleading hints. The misleading hints are intentionally designed to point to an incorrect answer.
The dataset contains a random mixture of:
Hinted examples, where a misleading cue points toward an incorrect answer.
Unhinted examples, where no misleading cue is provided.
The dataset was developed as part of the… See the full description on the dataset page: https://huggingface.co/datasets/UnfaithRL/mmlu_mixed_questions.real-math-corpus-questions-with-retrievals
Real Math Corpus - Statement Dependencies and Questions
Dataset Description
This dataset contains a comprehensive collection of mathematical statements and questions extracted from the Real Math Dataset with 207 mathematical papers. The dataset is split into two parts:
Corpus: Statement dependencies and proof dependencies with complete metadata and global ID mapping
Questions: Main statements from papers treated as questions, with dependency mappings to the corpus… See the full description on the dataset page: https://huggingface.co/datasets/AK123321/real-math-corpus-questions-with-retrievals.real-math-corpus-questions-with-cross-paper-retrievals
Real Math Corpus - Statement Dependencies and Questions
Dataset Description
This dataset contains a comprehensive collection of mathematical statements and questions extracted from the Real Math Dataset with 207 mathematical papers. The dataset is split into two parts:
Corpus: Statement dependencies and proof dependencies with complete metadata and global ID mapping
Questions: Main statements from papers treated as questions, with enhanced dependency mappings to the… See the full description on the dataset page: https://huggingface.co/datasets/AK123321/real-math-corpus-questions-with-cross-paper-retrievals.Islam_Question_and_Answer1sinhala-alevel-physics-questions
Dataset Details
This dataset contains 20 physics questions and answers focused on Sinhala language.
washnorm2021_test_questions
Dataset Card for "WASHNORM 2021 Test Questions and Answers"
This dataset contains 90 Question and Answer pairs, 2 extra reference answers for each question. It was created from the WASHNORM 2021 Report's Executive Summary which can be found on UNICEF Nigeria's Website.
Dataset Description
Notebook: Contains code where majority of data extraction and generation was carried out.
Repository: Contains code for the WASH Services Chatbot that this dataset was generated to test.… See the full description on the dataset page: https://huggingface.co/datasets/rnabage/washnorm2021_test_questions.religious-questions-and-answers
Main fields
article_id, url, title, question, short_answer, content_html,
content_text, published_at_persian, view_count, and category fields.
is_valid_article marks archive links that resolved to a valid article page.