Update README.md
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by gmw99 - opened
README.md
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@@ -26,21 +26,21 @@ The NAMES language dataset is generated using the Faker Python package (https://
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The dataset consists of first and last names from 15 country categories:
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- English (en_GB)
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- German (de_DE)
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- French (fr_FR)
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- Italian (it_IT)
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- Spanish (es_ES)
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- Portuguese (pt_PT)
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- Russian (ru_RU)
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- Polish (pl_PL)
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- Dutch (nl_NL)
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- Japanese (ja_JP)
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- Norwegian (no_NO)
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- Chinese (zh_CN)
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- Czech (cs_CZ)
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- Greek (el_GR)
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- Turkish (tr_TR)
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It is important to note that for the Japanese and Chinese names, the romanised form was used. To ensure class balance for each country category, we generated 1000 unique first and last name combinations with a maximum length of 20, totalling 15000 unique names. Each category was split into an 80-20 train (800 samples) and test (200 samples) split to ensure class balance during training and evaluation.
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The dataset is used for the paper "A Function-Centric Perspective on Flat and Sharp Minima" which appears in the Transactions on Machine Learning Research. If you use this dataset, please cite the paper below:
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The dataset consists of first and last names from 15 country categories:
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- English (en_GB) (0)
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- German (de_DE) (1)
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- French (fr_FR) (2)
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- Italian (it_IT) (3)
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- Spanish (es_ES) (4)
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- Portuguese (pt_PT) (5)
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- Russian (ru_RU) (6)
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- Polish (pl_PL) (7)
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- Dutch (nl_NL) (8)
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- Japanese (ja_JP) (9)
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- Norwegian (no_NO) (10)
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- Chinese (zh_CN) (11)
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- Czech (cs_CZ) (12)
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- Greek (el_GR) (13)
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- Turkish (tr_TR) (14)
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It is important to note that for the Japanese and Chinese names, the romanised form was used. To ensure class balance for each country category, we generated 1000 unique first and last name combinations with a maximum length of 20, totalling 15000 unique names. Each category was split into an 80-20 train (800 samples) and test (200 samples) split to ensure class balance during training and evaluation.
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The dataset is used for the paper "A Function-Centric Perspective on Flat and Sharp Minima" which appears in the Transactions on Machine Learning Research. If you use this dataset, please cite the paper below:
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