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--- |
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license: cc-by-4.0 |
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task_categories: |
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- token-classification |
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language: |
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- en |
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tags: |
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- materials science |
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- ner |
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- machine learning |
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- superconductors |
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pretty_name: supermat |
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size_categories: |
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- 1M<n<10M |
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--- |
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**Official website**: https://github.com/lfoppiano/SuperMat |
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### Reference |
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The paper discussing this datset can be found [here](https://doi.org/10.1080/27660400.2021.1918396) or on [arxiv](arxiv.org/abs/2101.02455) |
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For citing: |
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``` |
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@article{doi:10.1080/27660400.2021.1918396, |
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author = {Luca Foppiano and Sae Dieb and Akira Suzuki and Pedro Baptista de Castro and Suguru Iwasaki and Azusa Uzuki and Miren Garbine Esparza Echevarria and Yan Meng and Kensei Terashima and Laurent Romary and Yoshihiko Takano and Masashi Ishii}, |
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title = {SuperMat: construction of a linked annotated dataset from superconductors-related publications}, |
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journal = {Science and Technology of Advanced Materials: Methods}, |
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volume = {1}, |
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number = {1}, |
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pages = {34-44}, |
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year = {2021}, |
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publisher = {Taylor & Francis}, |
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doi = {10.1080/27660400.2021.1918396}, |
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URL = { |
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https://doi.org/10.1080/27660400.2021.1918396 |
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}, |
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eprint = { |
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https://doi.org/10.1080/27660400.2021.1918396 |
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} |
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} |
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``` |
