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@@ -14,4 +14,60 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ language:
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+ - th
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+ tags:
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+ - name
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+ - dataset
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+ - OCR
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+ - text-generation
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+ - Thai
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+ license: apache-2.0
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  ---
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+
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+ # Thai Firstname Corpus
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+
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+ ## Overview
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+ The **Thai Firstname Corpus** is a collection of **8,273 unique Thai first names**, designed for various linguistic and technological applications. While comprehensive, this dataset may not cover all Thai names in existence.
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+
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+ ## Features & Structure
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+ - **Language:** Thai (th-TH)
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+ - **Total Names:** 8,273
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+ - **Format:** Single-field dataset containing only Thai first names
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+ - **Field:**
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+ - `name` *(string)* – A Thai first name
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+
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+ ## Potential Applications
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+ This dataset can be utilized for:
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+ - **Random name generation** – Suitable for applications, games, and simulations.
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+ - **OCR training** – Improving Thai text recognition in images.
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+ - **Form validation** – Ensuring accurate name input in databases.
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+ - **Linguistic analysis** – Studying Thai naming patterns.
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+ - **Testing Thai NLP systems** – Enhancing natural language processing models.
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+
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+ ## Usage
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+ To load the dataset, you can use the following code:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("suchut/thai-firstname-corpus")
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+ ```
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+
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+ ## Data Source & Collection
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+ The names in this corpus are sourced from publicly available lists of common Thai first names. The dataset aims to represent widely used names across different regions of Thailand.
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+
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+ ## Ethical Considerations
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+ ### Social Impact
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+ This dataset contributes to the advancement of Thai language technology by improving:
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+ - Optical Character Recognition (OCR)
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+ - Name recognition in applications
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+ - Software localization for Thai users
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+
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+ ### Limitations & Biases
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+ - The dataset may **not include all Thai names**, especially rare or newly coined ones.
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+ - There could be **regional and generational biases** based on the source of the names.
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+
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+ ### Privacy & Sensitivity
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+ - The dataset contains **only first names**, with no personally identifiable information (PII).
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+ - These names are **common and widely used**, reducing privacy concerns.