|
--- |
|
dataset_info: |
|
features: |
|
- name: name |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 207152 |
|
num_examples: 8273 |
|
download_size: 85115 |
|
dataset_size: 207152 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
language: |
|
- th |
|
tags: |
|
- name |
|
- dataset |
|
- OCR |
|
- text-generation |
|
- Thai |
|
license: apache-2.0 |
|
--- |
|
|
|
# Thai Firstname Corpus |
|
|
|
## Overview |
|
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. |
|
|
|
## Features & Structure |
|
- **Language:** Thai (th-TH) |
|
- **Total Names:** 8,273 |
|
- **Format:** Single-field dataset containing only Thai first names |
|
- **Field:** |
|
- `name` *(string)* – A Thai first name |
|
|
|
## Potential Applications |
|
This dataset can be utilized for: |
|
- **Random name generation** – Suitable for applications, games, and simulations. |
|
- **OCR training** – Improving Thai text recognition in images. |
|
- **Form validation** – Ensuring accurate name input in databases. |
|
- **Linguistic analysis** – Studying Thai naming patterns. |
|
- **Testing Thai NLP systems** – Enhancing natural language processing models. |
|
|
|
## Usage |
|
To load the dataset, you can use the following code: |
|
|
|
```python |
|
from datasets import load_dataset |
|
|
|
dataset = load_dataset("suchut/thai-firstname-corpus") |
|
``` |
|
|
|
## Data Source & Collection |
|
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. |
|
|
|
## Ethical Considerations |
|
### Social Impact |
|
This dataset contributes to the advancement of Thai language technology by improving: |
|
- Optical Character Recognition (OCR) |
|
- Name recognition in applications |
|
- Software localization for Thai users |
|
|
|
### Limitations & Biases |
|
- The dataset may **not include all Thai names**, especially rare or newly coined ones. |
|
- There could be **regional and generational biases** based on the source of the names. |
|
|
|
### Privacy & Sensitivity |
|
- The dataset contains **only first names**, with no personally identifiable information (PII). |
|
- These names are **common and widely used**, reducing privacy concerns. |
