datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ontolearner-materials_science_and_engineering
Materials Science And Engineering Domain Ontologies
Overview
Materials Science and Engineering is a multidisciplinary domain that focuses on the study and application of materials, emphasizing their structure, properties, processing, and performance in engineering contexts. This field is pivotal for advancing knowledge representation, as it integrates principles from physics, chemistry, and engineering to innovate and optimize materials for diverse technological… See the full description on the dataset page: https://huggingface.co/datasets/SciKnowOrg/ontolearner-materials_science_and_engineering.chinese-materials-science-open-intelligence
🔬 Chinese Materials Science & Metallurgy Open Intelligence Dataset
Curated open intelligence dataset providing English research briefs, authoritative DOIs, executive summaries, and high-resolution micrographs of breakthrough Chinese scientific research in Materials Science, Metallurgy, Advanced Alloys, and Mining Engineering.
[!IMPORTANT]
Data Completeness & Research Authenticity Notice:
Included in this Hugging Face Open Dataset: English structured abstracts, core… See the full description on the dataset page: https://huggingface.co/datasets/simpleG2023/chinese-materials-science-open-intelligence.science_materialspes2o_materials_science_780m_refinedweb_220m_before_20190101materials-platform-for-data-science
Materials Platform for data science
Dataset includes 405,100 publications, 139,005 phase diagrams, 409,771 crystalline nanostructures, 1,075,676 physical property sets, and 189,682 material phases. It integrates decades of scientific research on inorganic materials, enabling computational materials design, machine learning applications, and materials informatics studies across industry and academia.
Built on data extracted from about half a million peer-reviewed scientific… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/materials-platform-for-data-science.adaption-materials-science-qa-augmented
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-materials_science_qa (augmented)
This dataset comprises instruction and response pairs focused on fundamental and advanced topics in materials science. Content includes questions on material properties, synthesis methods, characterization techniques, and practical engineering applications. Each entry is formatted as a prompt and completion pair designed for training technical… See the full description on the dataset page: https://huggingface.co/datasets/darthludious/adaption-materials-science-qa-augmented.general-materials-sciencematerials_sciences_demo