datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ScienceQA
Dataset Card Creation Guide
Dataset Summary
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Supported Tasks and Leaderboards
Multi-modal Multiple Choice
Languages
English
Dataset Structure
Data Instances
Explore more samples here.
{'image': Image,
'question': 'Which of these states is farthest north?',
'choices': ['West Virginia', 'Louisiana', 'Arizona', 'Oklahoma'],
'answer': 0… See the full description on the dataset page: https://huggingface.co/datasets/derek-thomas/ScienceQA.ScienceQA
Dataset Card for "ScienceQA"
Dataset Summary
ScienceQA is collected from elementary and high school science curricula, and contains 21,208 multimodal multiple-choice science questions. Out of the questions in ScienceQA, 10,332 (48.7%) have an image context, 10,220 (48.2%) have a text context, and 6,532 (30.8%) have both. Most questions are annotated with grounded lectures (83.9%) and detailed explanations (90.5%). The lecture and explanation provide general external… See the full description on the dataset page: https://huggingface.co/datasets/TheMrguiller/ScienceQA.ScienceQA
Dataset Card Creation Guide
Dataset Summary
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Supported Tasks and Leaderboards
Multi-modal Multiple Choice
Languages
English
Dataset Structure
Data Instances
Explore more samples here.
{'image': Image,
'question': 'Which of these states is farthest north?',
'choices': ['West Virginia', 'Louisiana', 'Arizona', 'Oklahoma'],
'answer': 0… See the full description on the dataset page: https://huggingface.co/datasets/Gisiyuan/ScienceQA.ScienceQA
Dataset Card Creation Guide
Dataset Summary
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Supported Tasks and Leaderboards
Multi-modal Multiple Choice
Languages
English
Dataset Structure
Data Instances
Explore more samples here.
{'image': Image,
'question': 'Which of these states is farthest north?',
'choices': ['West Virginia', 'Louisiana', 'Arizona', 'Oklahoma'],
'answer': 0… See the full description on the dataset page: https://huggingface.co/datasets/aarav7397/ScienceQA.tubitak-science-olympiad-tr
TUBITAK Science Olympiad Dataset
This dataset contains multiple-choice and open-ended scientific questions sourced from the TUBITAK (The Scientific and Technological Research Council of Turkey) Science Olympiads spanning various years. It is intended to serve as a benchmark for evaluating the advanced analytical, mathematical, and computational reasoning capabilities of Large Language Models (LLMs) in the Turkish language.
The dataset comprises approximately 2700 problems across… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/tubitak-science-olympiad-tr.scienceqa-math-cot
ScienceQA Mathematics CoT Dataset (Turkish)
Bu veri seti, görsel içerikli matematik sorularının çözümü için Qwen 2.5 VL ve benzeri çok modlu (multimodal) modellerin ince ayar (fine-tuning) işlemleri için hazırlanmıştır. Orijinal ScienceQA verileri temel alınarak, görsel-metin eşleşmeleri optimize edilmiş ve çözüm yolları (Chain of Thought) yapılandırılmıştır.
📊 Veri Seti Özeti
Toplam Satır Sayısı: 16,789
İçerik: Görsel (Image), Soru (Question), Cevap (Answer) ve… See the full description on the dataset page: https://huggingface.co/datasets/kerembb123/scienceqa-math-cot.ScienceQA
Dataset Card Creation Guide
Dataset Summary
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Supported Tasks and Leaderboards
Multi-modal Multiple Choice
Languages
English
Dataset Structure
Data Instances
Explore more samples here.
{'image': Image,
'question': 'Which of these states is farthest north?',
'choices': ['West Virginia', 'Louisiana', 'Arizona'… See the full description on the dataset page: https://huggingface.co/datasets/Daisyamanda/ScienceQA.ScienceQA-Weather-R1
Introduction
Dataset Summary
This dataset is the out-of-domain (OOD) evaluation set used in "Weather-R1: Logically Consistent Reinforcement Fine-Tuning for Multimodal Reasoning in Meteorology". It is curated from the "Weather and climate" category of ScienceQA and contains 324 English, multimodal multiple-choice questions to test cross-domain generalization.
Supported Tasks
Multi-modal Multiple Choice
Languages
English
Dataset Overview
For… See the full description on the dataset page: https://huggingface.co/datasets/Marco711/ScienceQA-Weather-R1.
