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# Dataset Card for "Materials-Informatics"
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# Dataset Card for "Materials-Informatics"
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Dataset Name: Materials-Informatics
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Dataset Owner: cs-mubashir
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Language: English
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Size: ~600+ entries
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Last Updated: May 2025
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Source: Extracted from arxiv dataset research repository
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# Dataset Summary
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The Materials-Informatics dataset is a curated collection of research papers from arxiv repository focusing on the intersection
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of artificial intelligence (AI) and materials science and engineering (MSE). Each entry provides metadata
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and descriptive information about a research paper, including its title, authors, abstract, keywords, publication year,
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material types, AI techniques used, and application domains.
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This dataset aims to serve as a valuable resource for researchers and practitioners working at the convergence
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of machine learning, deep learning, and materials discovery/design. It can be used for tasks like information retrieval,
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scientific NLP, trend analysis, paper classification, and LLM fine-tuning for domain-specific tasks.
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Supported Tasks and Leaderboards
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[More Information Needed]
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Languages
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[More Information Needed]
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