datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.visual-question-answering-checkpoint-downloadsquran-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.question-answering-ukrainianDermatology-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.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.table-question-answering-checkpoint-downloadsdocument-question-answering-checkpoint-downloadsTask_5_Patent_Question_Answer_0001question_answering
Visualization of Question & Answering Task Cases Samples
Check dataset samples visualization by viewing Dataset Viewer.
The sampling procedure is guided by the Elo distribution introduced in our method.
Original dataset is test split of cais/mmlu from hugging face.
samples/origin: 14041/14042
License
This repository is licensed under the Apache License 2.0
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Dataset Card for "COVID-QA-Chunk-64-question-answering-biencoder-data-90_10"
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klue-mrc-no-answer-questioncuad_dataset_question_answer_retrieved_ctxquestion-answering-checkpoint-downloadsCOVID-QA-question-answering-biencoder-data-45_45_10
Dataset Card for "COVID-QA-question-answering-biencoder-data-45_45_10"
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DeepEval-Question-Answer-Dataset-for-RAG-Evaluation-YouTube-Videorlvr_task863_asdiv_multiop_question_answeringIslam_Question_and_Answer1mt_cuad_dataset_question_answerqwen3_0.6b-rlvr_task178_quartz_question_answeringCOVID-QA-Chunk-64-question-answering-biencoder-data-65_25_10-v2
Dataset Card for "COVID-QA-Chunk-64-question-answering-biencoder-data-65_25_10-v2"
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qwen3_0.6b-rlvr_task1297_qasc_question_answeringCOVID-QA-question-answering-biencoder-data-65_25_10
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COVID-QA-Chunk-64-question-answering-biencoder-data-65_25_10
Dataset Card for "COVID-QA-Chunk-64-question-answering-biencoder-data-65_25_10"
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