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license: afl-3.0 |
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# Bengali Female VS Male Names Dataset |
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An NLP dataset that contains 2030 data samples of Bengali names and corresponding gender both for female and male. This is a very small and simple toy dataset that can be used by NLP starters to practice sequence classification problem and other NLP problems like gender recognition from names. |
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# Background |
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In Bengali language, name of a person is dependent largely on their gender. Normally, name of a female ends with certain type of suffix "A", "I", "EE" ["আ", "ই", "ঈ"]. And the names of male are significantly different from female in terms of phoneme patterns and ending suffix. So, In my observation there is a significant possibility that these difference in patterns can be used for gender classification based on names. |
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Find the full documentation here: |
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[Documentation and dataset specifications](https://github.com/faruk-ahmad/bengali-female-vs-male-names) |
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## Dataset Format |
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The dataset is in CSV format. There are two columns- namely |
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1. Name |
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2. Gender |
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Each row has two attributes. First one is name, second one is the gender. The name attribute is in ```utf-8``` encoding. And the second attribute i.e. the gender attribute has been signified by 0 and 1 as |
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|male| 0| |
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|female| 1| |
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## Dataset Statistics |
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The number of samples per class is as bellow- |
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|male| 1029| |
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|female| 1001| |
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## Possible Use Cases |
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1. Sequence Classification using RNN, LSTM etc |
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2. Sequence modeling using other type of machine learning algorithms |
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3. Gender recognition based on names |
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## Disclaimer |
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The names were collected from internet using different sources like wikipedia, baby name suggestion websites, blogs etc. If someones name is in the dataset, that is totally unintentional. |
