TajikNLPWorld/TajikNamesDataset

Tajik Names Dataset

A multilingual dataset of Tajik personal names with parallel forms in Russian and English, including gender information.

📖 Description

This dataset contains 3,842 unique Tajik personal names, each accompanied by:

• Russian transliteration/translation
• English transliteration
• Gender (Male/Female)

It serves as a valuable resource for:

• Machine transliteration
• Gender classification from names
• Cross-lingual name matching
• Linguistic analysis of Tajik naming conventions

📊 Dataset Statistics

Overview

Metric	Value
Total Records	3,842
Unique Tajik Names	3,842
Unique Russian Forms	3,827
Unique English Forms	3,831

Gender Distribution

Gender	Count
Male	2243
Female	1599
TOTAL	3842

First Letter Distribution (Tajik Names)

First Letter (Tajik)	Count
М	543
А	356
С	338
Ш	274
Н	233
Б	217
З	170
Г	163
Р	153
Ф	149
Ҳ	143
Д	141
Х	129
О	111
Ҷ	90
Т	83
В	81
К	81
П	80
И	79

Name Length Statistics (characters)

Language	Mean	Median	Min	Max
Tajik	7.2	7	2	15
Russian	7.2	7	2	15
English	7.6	7	3	15

Most Frequent Tajik Names

Tajik Name	Frequency
Аббос	1
Абдол	1
Абдуззоҳир	1
Абдулазиз	1
Абдулазим	1
Абдулалим	1
Абдулалӣ	1
Абдулаҳад	1
Абдулбасир	1
Абдулбашир	1

📁 Data Format

Each record contains:

Field	Type	Description
Number	int	Sequential ID (original order)
Tajik	string	Name in Tajik Cyrillic
Russian	string	Name in Russian Cyrillic
English	string	Name in Latin script
Description	string	Gender (Male/Female)

🚀 Usage Examples

from datasets import load_dataset

# Load dataset
dataset = load_dataset("TajikNLPWorld/TajikNamesDataset")

# Get all male names
male_names = dataset["train"].filter(lambda x: x["Description"] == "Male")

# Find by first letter
names_starting_with_A = dataset["train"].filter(lambda x: x["Tajik"].startswith("А"))

# Iterate through records
for record in dataset["train"]:
    print(record["Tajik"], "->", record["English"])

🔬 Potential Applications

• Transliteration models: Train on Tajik↔Russian↔English pairs.
• Gender classification: Build classifiers based on name strings.
• Cross-lingual entity linking: Match name variants across scripts.
• Linguistic analysis: Study common prefixes (Абд-, Абдул-) and suffixes.

📜 License

Apache 2.0

🤝 Citation

If you use this dataset, please cite:

@dataset{tajik_names_dataset_2026,
    title = {Tajik Names Dataset},
    author = {Arabov Mullosharaf Kurbonovich, TajikNLPWorld},
    year = {2026},
    publisher = {Hugging Face},
    url = {https://huggingface.co/datasets/TajikNLPWorld/TajikNamesDataset}
}

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Dataset automatically generated and published using Hugging Face 🤗 Datasets