
# 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 sources like wikipedia, baby name suggestion websites, blogs etc. If someones name is in the dataset, that is totally unintentional.
license:afl-3.0 doi:10.57967/hf/0053 region:us
{"license": "afl-3.0"}
TAGS
#license-afl-3.0 #doi-10.57967/hf/0053 #region-us 

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


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 encoding. And the second attribute i.e. the gender attribute has been signified by 0 and 1 as



Dataset Statistics
------------------


The number of samples per class is as bellow-



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 sources like wikipedia, baby name suggestion websites, blogs etc. If someones name is in the dataset, that is totally unintentional.



TAGS
#license-afl-3.0 #doi-10.57967/hf/0053 #region-us 
