datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AEGISThis repository contains the data of the paper [AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images]
visual-spatial-reasoningThe Visual Spatial Reasoning (VSR) corpus is a collection of caption-image pairs with true/false labels. Each caption describes the spatial relation of two individual objects in the image, and a vision-language model (VLM) needs to judge whether the caption is correctly describing the image (True) or not (False).visual-spatial-reasoningThe Visual Spatial Reasoning (VSR) corpus is a collection of caption-image pairs with true/false labels. Each caption describes the spatial relation of two individual objects in the image, and a vision-language model (VLM) needs to judge whether the caption is correctly describing the image (True) or not (False).Turkish-Visual-Reasoning-Dataset
Turkish Visual Reasoning Dataset
The Turkish Visual Reasoning Dataset is a Turkish multimodal reasoning dataset designed to evaluate and improve the abstract reasoning capabilities of Vision-Language Models (VLMs).
It was created by adapting established visual reasoning benchmarks into Turkish and combining them with original Turkish BİLSEM preparation questions. The dataset targets challenging reasoning tasks such as logical pattern discovery, spatial reasoning, analogical… See the full description on the dataset page: https://huggingface.co/datasets/Berkesule/Turkish-Visual-Reasoning-Dataset.tw-vqa-2025-reasoning
台灣觀光景點資料集 2025
⚠️ 重要聲明
資料來源與版權
本資料集中的圖片來自 Google 圖片搜尋,僅供學術研究與教育用途。
版權聲明:
圖片版權歸原始版權所有者所有
本資料集不主張對任何圖片擁有版權
圖片僅用於研究目的,不得用於商業用途
使用限制:
✅ 學術研究
✅ 教育用途
✅ 非商業性機器學習模型訓練
❌ 商業用途
❌ 再分發圖片
❌ 侵犯原始版權所有者權益的用途
免責聲明:
使用者有責任確保其使用方式符合相關版權法律。資料集提供者不對因使用本資料集而產生的任何版權糾紛負責。
如果您是圖片的版權所有者並希望移除您的圖片,請聯絡資料集維護者。
資料集描述
這是一個台灣觀光景點圖像資料集,包含約 1000 個台灣景點的圖片及其詳細描述。每個樣本都經過 LLM 生成詳細的視覺描述和問答對。
資料收集方式:
圖片來源:Google 圖片搜尋
景點資訊:公開觀光資訊
LLM 生成內容:使用大型語言模型生成圖片描述和問答
資料集統計
訓練集… See the full description on the dataset page: https://huggingface.co/datasets/treeleaves30760/tw-vqa-2025-reasoning.
