Omkar2118/datasets huggingface dataset:
Dhaka Stock Exchange Historical Data

The dataset contains historical technical data of Dhaka Stock Exchange (DSE). The data was collected from different sources found in the internet where the data was publicly available. The data available here are used for information and research purposes and though to the best of our knowledge, it does not contain any mistakes, there might still be some mistakes. It is not encourages to use this dataset for portfolio management purposes and use this dataset out of your own interest. The contributors do not  hold any liability if it is used for any purposes.

Introducing paper: Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market
Vashantor: A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language

The Vashantor dataset consists of 32,500 sentences from different regions, including Chittagong, Noakhali, Sylhet, Barishal, and Mymensingh. It is categorized into two language formats: "Bangla" and "Banglish." Each region and language combination has specified quantities for training, testing, and validation samples. The dataset details are as follows: 


## Specifics of the Core Data:

|    Type    	| Bangla 	| Banglish 	| English 	|
|:----------:	|:------:	|:--------:	|:-------:	|
| Train      	|   1875 	|     1875 	|    1875 	|  
| Test       	|    375 	|      375 	|     375 	|  
| Validation 	|    250 	|      250 	|     250 	|  

## Specifics of the Regional Data:

<table class="tg">
<thead>
  <tr>
    <th class="tg-c3ow">Region</th>
    <th class="tg-c3ow">Type</th>
    <th class="tg-c3ow">Train</th>
    <th class="tg-c3ow">Test</th>
    <th class="tg-c3ow">Validation</th>
  </tr>
</thead>
<tbody>
  <tr>
    <td class="tg-c3ow" rowspan="2">Chittagong</td>
    <td class="tg-0pky">Bangla</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td> </td>
    <td class="tg-0pky">Banglish</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td class="tg-c3ow" rowspan="2">Noakhali</td>
    <td class="tg-0pky">Bangla</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td> </td>
    <td class="tg-0pky">Banglish</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td class="tg-c3ow" rowspan="2">Sylhet</td>
    <td class="tg-0pky">Bangla</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td> </td>
    <td class="tg-0pky">Banglish</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td class="tg-c3ow" rowspan="2">Barishal</td>
    <td class="tg-0pky">Bangla</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td> </td>
    <td class="tg-0pky">Banglish</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td class="tg-c3ow" rowspan="2">Mymensingh</td>
    <td class="tg-0pky">Bangla</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
  <tr>
    <td> </td>
    <td class="tg-0pky">Banglish</td>
    <td class="tg-dvpl">1875</td>
    <td class="tg-dvpl">375</td>
    <td class="tg-dvpl">250</td>
  </tr>
</tbody>
</table>

Introducing paper: Vashantor: A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language