datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CEH_question_answerNLU-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
nq-question-answeronlyArt-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-splitMedQuAD_47441_Question_Answer_Pairs
Dataset Card for "MedQuAD_47441_Question_Answer_Pairs"
More Information needed
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.task1594_yahoo_answers_topics_question_generation
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1594_yahoo_answers_topics_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… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task1594_yahoo_answers_topics_question_generation.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.video-game-question-answeringChinese_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.task1326_qa_zre_question_generation_from_answer
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task1326_qa_zre_question_generation_from_answer
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/task1326_qa_zre_question_generation_from_answer.medical-question-answering-datasetstask1731_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.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.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.task754_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.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.visual-question-answering-cocoquran-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.medical-question-answering-syntheticmedical-question-answering-datasetstask178_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.QuestionAnswering
Serbian Question-Answering Datasets
This repository provides multiple QA datasets in Serbian, suitable for training LLMs to answer questions, perform tasks, or function as chatbots.
Datasets Overview
SQuAD-sr-md – Manually corrected subset of SQuAD-sr (~7k corrected samples), for higher reliability and accuracy.
SerbianQA-Gen – Synthetic QA dataset (~74k samples) generated from encyclopedia articles, Wikipedia pages, and scientific abstracts. Organized into four… See the full description on the dataset page: https://huggingface.co/datasets/te-sla/QuestionAnswering.