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.medical-question-answering-datasetsstackexchange-question-answering
SYNTHETIC-1
This is a subset of the task data used to construct SYNTHETIC-1. You can find the full collection here
extractive_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.Art-Vision-Question-Answering-Dataset
Art Vision Question Answering Dataset
🎨 A curated dataset for training AI models on digital artwork analysis and visual question answering.
Dataset Overview
This dataset contains 577 question-answer pairs extracted from artwork conversations, designed for training multimodal AI models on art analysis tasks.
✨ Key Features
🖼️ Visual Thumbnails: Artwork images displayed directly in the dataset viewer
💬 Rich Q&A: Expert-level questions and answers… See the full description on the dataset page: https://huggingface.co/datasets/OneEyeDJ/Art-Vision-Question-Answering-Dataset.medical-question-answering-splittamil-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.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.task864_asdiv_singleop_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task864_asdiv_singleop_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/task864_asdiv_singleop_question_answering.task751_svamp_subtraction_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task751_svamp_subtraction_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/task751_svamp_subtraction_question_answering.video-game-question-answeringCFQA_Chinese_Finance_Question_Answering
Citation
For the complete project, please check Here
If you use CFQA in your research, experiments, benchmarks, or publications, please cite the accompanying paper:
@inproceedings{zhu2026cfqa,
title = {CFQA: A Chinese Financial Question Answering Benchmark From Corporate Annual Reports},
author = {Tianning Zhu and Mo Liu and Murathan Kurfali},
booktitle = {Proceedings of The 7th Financial Narrative Processing Workshop (FNP 2026)},
year = {2026},
address =… See the full description on the dataset page: https://huggingface.co/datasets/ZackZhu00/CFQA_Chinese_Finance_Question_Answering.Chinese_Question_Answering_Datasettask752_svamp_multiplication_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task752_svamp_multiplication_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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task752_svamp_multiplication_question_answering.task867_mawps_multiop_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task867_mawps_multiop_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/task867_mawps_multiop_question_answering.task144_subjqa_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task144_subjqa_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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task144_subjqa_question_answering.task753_svamp_addition_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task753_svamp_addition_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/task753_svamp_addition_question_answering.task1731_quartz_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1731_quartz_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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1731_quartz_question_answering.chaii-hindi-and-tamil-question-answeringquestion-answering-ukrainian-json-answerstask754_svamp_common-division_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task754_svamp_common-division_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+… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task754_svamp_common-division_question_answering.medical-question-answering-datasetsvisual-question-answering-cocotask178_quartz_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task178_quartz_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 Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task178_quartz_question_answering.question-answering-state-of-the-uniontask1286_openbookqa_question_answering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1286_openbookqa_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/task1286_openbookqa_question_answering.question-answering-ukrainianmedical-question-answering-datasetsmedical-question-answering-synthetic