Datasets:
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---
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 : [email protected]
VulturePrime : (VulturePrime)[https://vultureprime.com]
Float16 : (Float16.cloud)[https://float16.cloud]
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