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.Turkish-medical-visual-question-answering-LLaVa-dataset
Türkçe Radyoloji Görüntüleme Veri Seti - data_RAD
data_RAD veri seti, radyoloji görüntüleri üzerinde görsel soru-cevaplama (VQA) araştırmaları yapmak amacıyla Türkçeye çevrilmiş ve LLaVa mimarisiyle uyumlu hale getirilmiştir. Bu veri seti, tıbbi görüntü analizi ve yapay zeka destekli radyoloji uygulamalarını geliştirmek için kullanılabilir.
Veri Seti İçeriği
Toplam Görüntü Sayısı: 316
Veri Yapısı: DatasetDict({ train: Dataset({ features: ['image'], num_rows: 316 }) })
Özellikler:… See the full description on the dataset page: https://huggingface.co/datasets/nezahatkorkmaz/Turkish-medical-visual-question-answering-LLaVa-dataset.video-game-question-answeringvisual-question-answering-cocoquestion-answerAnime-Question-AnsweringAnime-Question-Answeringmri_question_answerImageText-Question-answer-pairs-58K-Claude-3.5-Sonnnet
REILX/ImageText-Question-answer-pairs-58K-Claude-3.5-Sonnnet
从VisualGenome数据集V1.2中随机抽取21717张图片，利用Claude-3-opus-20240229和Claude-3-sonnet-20240620两个模型生成了总计58312个问答对，每张图片约3个问答，其中必有一个关于图像细节的问答。Claude-3-opus-20240229模型贡献了约3,028个问答对，而Claude-3-sonnet-20240620模型则生成了剩余的问答对。
Code
使用以下代码生成问答对：
# -*- coding: gbk -*-
import os
import random
import shutil
import re
import json
import requests
import base64
import time
from tqdm import tqdm
from json_repair import repair_json… See the full description on the dataset page: https://huggingface.co/datasets/REILX/ImageText-Question-answer-pairs-58K-Claude-3.5-Sonnnet.mri_question_answer_testmri_question_answer_train_fullmri_question_answer_test_fullQuestionAnswer-ImgsColombiamri_question_answer_train