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  # Dataset Card for "Materials-Informatics"
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- [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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]