Datasets:
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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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task_categories:
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- image-to-text
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language:
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- th
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size_categories:
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- n<1K
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---
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Matichon Maneegard
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- **Shared by [optional]:** Matichon Maneegard
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- **Language(s) (NLP):** image-to-text
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- **License:** apache-2.0
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### Dataset Sources [optional]
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<!-- Provide the basic links for the dataset. -->
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The dataset was entirely synthetic. It does not contain real information or pertain to any specific person.
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## Uses
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<!-- Address questions around how the dataset is intended to be used. -->
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### Direct Use
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<!-- This section describes suitable use cases for the dataset. -->
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Using for tranning OCR or Multimodal.
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## Dataset Structure
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<!-- 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. -->
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This dataset contains 98 x 6 = 588 samples, and the labels contain 98 samples.
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Each sample will have a different scenario to represent.
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The 'train.csv' file contains 11 attributes:
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```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```
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The 'File_Index' corresponds to the number of the image in the scenario with the training data.
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It means that '/Scenario_1/file_1.png' has the same attributes as '/Scenario_2/file_1.png'.
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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### Contact
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Twitter : (Mati)[https://twitter.com/KMatiDev1]
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E-mail : business@vultureprime.com
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VulturePrime : (VulturePrime)[https://vultureprime.com]
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Float16 : (Float16.cloud)[https://float16.cloud]
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