metadata
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:
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.