datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
NLU-Question-Answering
SEA Question Answering
SEA Question Answering evaluates a model's ability to predict a contiguous span of characters that answers the question about a given passage. It is sampled from TyDi QA-GoldP for Indonesian, IndicQA for Tamil, and XQuaD for Thai and Vietnamese.
Supported Tasks and Leaderboards
SEA Question Answering is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the SEA-HELM leaderboard from AI Singapore.… See the full description on the dataset page: https://huggingface.co/datasets/aisingapore/NLU-Question-Answering.text-sft-questions-answers-only
text-sft: Questions and Answers
This dataset consists of question-and-answer pairs generated from short excerpts drawn from Wikipedia, Cosmopedia, and FineWeb-Edu. It is an adapted version of agentlans/text-sft.
Overview
The dataset provides compact examples of English question-and-answer relationships that can help models learn linguistic patterns, syntactic structures, and semantic associations between questions and their corresponding answers.
Intended Use… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/text-sft-questions-answers-only.Question-Anchored-Tutoring-Dialogues-2k
Question-Anchored-Tutoring-Dialogues-2k
This dataset contains dialogues from math tutoring interventions recorded on Eedi.
Dataset Details
Dataset Description
Each dialogue represents a chat-based conversation between a tutor and a student prompted by the student requesting assistance while working on a lesson. Dialogues are accompanied with 2 sources of meta-data:
DQ-Question-Metadata: The question the student was working on that prompted the tutoring… See the full description on the dataset page: https://huggingface.co/datasets/Eedi/Question-Anchored-Tutoring-Dialogues-2k.QUEST-RL-Data
QUEST RL Data
Project Page | Paper | GitHub
Training split for the QUEST / DeepResearch RL recipe. Each row includes prompt, reward_model, extra_info, and related fields.
Dataset columns
Column
Description
data_source
Source tag (e.g. deepresearch_tasks)
prompt
list[{"role", "content"}] chat-style input
reward_model
Reward configuration (Python literal string; some rows embed numpy-like array(...) and need custom parsing)
extra_info
Extra metadata… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-RL-Data.natural_questions_cleanjee-advanced-questions
JEE Advanced — Question Bank
A structured dataset of JEE Advanced examination questions with full
worked solutions and diagrams. JEE Advanced questions are more analytical
than JEE Main — many are subjective, integer, or numerical-answer type with
detailed multi-step solutions.
Subsets (PCM):
Physics — 50 questions
Chemistry — 21 questions
Mathematics — 48 questions
Structure
Organised into subsets by subject and splits (train / test):
mathematics/ physics/… See the full description on the dataset page: https://huggingface.co/datasets/eQOURSE/jee-advanced-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.QUEST-SFT-Data-Objective-Script
QUEST SFT Data Objective Script
Project Page | Paper | GitHub
Supervised fine-tuning split for QUEST / DeepResearch objective tasks. Each row includes the user prompt, a rule-style reward_model, extra_info, and the objective task category. The corresponding objective evaluation scripts are provided separately under eval_scripts/.
This dataset follows the same broad schema style as osunlp/QUEST-RL-Data: each row includes prompt, reward_model, extra_info, and rl_task_category. The… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-SFT-Data-Objective-Script.Flutter-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.QUEST-SFT-Data-Objective
QUEST SFT Data (Objective)
Project Page | Paper | GitHub
Objective-style supervised fine-tuning trajectories for QUEST (tool-using assistant format). This dataset is part of the QUEST family, designed to train deep research agents with fully synthetic tasks.
Split: train
Columns: messages (list[{role, content}])
Load
from datasets import load_dataset
ds = load_dataset("osunlp/QUEST-SFT-Data-Objective", split="train", streaming=True)
row = next(iter(ds))… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-SFT-Data-Objective.task176_break_decompose_questions
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task176_break_decompose_questions
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task176_break_decompose_questions.task821_protoqa_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task821_protoqa_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task821_protoqa_question_generation.QUEST-SFT-Data-Open-ended
QUEST SFT Data (Open-ended)
Project Page | Paper | GitHub
Open-ended supervised fine-tuning trajectories for QUEST (tool-using assistant format). Split: train. Columns: messages (list[{role, content}]).
Load
from datasets import load_dataset
ds = load_dataset("osunlp/QUEST-SFT-Data-Open-ended", split="train", streaming=True)
row = next(iter(ds))
print(row.keys())
QUEST Family
Type
Resources
35B checkpoints
RL, MT+SFT, MT, SFT
30B checkpoints… See the full description on the dataset page: https://huggingface.co/datasets/osunlp/QUEST-SFT-Data-Open-ended.conv_questionsConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs.
It contains 11,200 conversations which can be evaluated over Wikidata. The questions feature a variety of complex
question phenomena like comparisons, aggregations, compositionality, and temporal reasoning.task290_tellmewhy_question_answerability
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task290_tellmewhy_question_answerability
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task290_tellmewhy_question_answerability.task670_ambigqa_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task670_ambigqa_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task670_ambigqa_question_generation.task1325_qa_zre_question_generation_on_subject_relation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1325_qa_zre_question_generation_on_subject_relation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1325_qa_zre_question_generation_on_subject_relation.task1645_medical_question_pair_dataset_text_classification
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1645_medical_question_pair_dataset_text_classification
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1645_medical_question_pair_dataset_text_classification.task865_mawps_addsub_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task865_mawps_addsub_question_answering
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task865_mawps_addsub_question_answering.task861_asdiv_addsub_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task861_asdiv_addsub_question_answering
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task861_asdiv_addsub_question_answering.task1657_gooaq_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1657_gooaq_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1657_gooaq_question_generation.task246_dream_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task246_dream_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task246_dream_question_generation.task168_strategyqa_question_decomposition
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task168_strategyqa_question_decomposition
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task168_strategyqa_question_decomposition.task074_squad1.1_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task074_squad1.1_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task074_squad1.1_question_generation.stackoverflow-questions-long
stackoverflow questions for text classification: 'long'
This is pacovaldez/stackoverflow-questions filtered for 1024 GPT2 tokens or more in title + body
https://huggingface.co/datasets/pacovaldez/stackoverflow-questions
cybersecurity-questionaire
Dataset Card for cybersecurity-questionaire
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/MichaelPrimez/cybersecurity-questionaire/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/MichaelPrimez/cybersecurity-questionaire.task047_miscellaneous_answering_science_questions
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task047_miscellaneous_answering_science_questions
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task047_miscellaneous_answering_science_questions.task035_winogrande_question_modification_person
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task035_winogrande_question_modification_person
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task035_winogrande_question_modification_person.task461_qasper_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task461_qasper_question_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task461_qasper_question_generation.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.