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README.md

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+# Bengali Female VS Male Names Dataset
+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.
+
+# Background
+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.
+
+
+Find the full documentation here:
+[Documentation and dataset specifications](https://github.com/faruk-ahmad/bengali-female-vs-male-names)
+
+## Dataset Format
+The dataset is in CSV format. There are two columns- namely 
+1. Name
+2. Gender
+
+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 
+
+|   |   |
+|---|---|
+|male| 0|
+|female| 1|
+|   |   |
+
+## Dataset Statistics
+The number of samples per class is as bellow-
+
+|   |   |
+|---|---|
+|male| 1029|
+|female| 1001|
+|   |   |
+
+## Possible Use Cases
+1. Sequence Classification using RNN, LSTM etc
+2. Sequence modeling using other type of machine learning algorithms
+3. Gender recognition based on names
+
+## Disclaimer
+The names were collected from internet using different source like wikipedia, baby name suggestion websites etc. If someones name is in the dataset, that is totally unintentional.