---
license: apache-2.0
task_categories:
- image-to-text
language:
- th
size_categories:
- n<1K
---

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** Matichon Maneegard
- **Shared by [optional]:** Matichon Maneegard
- **Language(s) (NLP):** image-to-text
- **License:** apache-2.0

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->
The dataset was entirely synthetic. It does not contain real information or pertain to any specific person.

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

Using for tranning OCR or Multimodal.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
This dataset contains 98 x 6 = 588 samples, and the labels contain 98 samples. 
Each sample will have a different scenario to represent.

The 'train.csv' file contains 11 attributes:

```File_Index, first_name_th, first_name_en, last_name_en, birth_date_th, birth_date_en, religion, first_address_th, second_address_th, third_address_th, forth_address_th```

The 'File_Index' corresponds to the number of the image in the scenario with the training data. 
It means that '/Scenario_1/file_1.png' has the same attributes as '/Scenario_2/file_1.png'.

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

### Contact

Twitter : (Mati)[https://twitter.com/KMatiDev1]

E-mail : business@vultureprime.com

VulturePrime : (VulturePrime)[https://vultureprime.com]

Float16 : (Float16.cloud)[https://float16.cloud]