TajikNamesDataset / README.md
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metadata
language:
  - tg
  - ru
  - en
license: apache-2.0
tags:
  - names
  - tajik-names
  - personal-names
  - multilingual

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}
}

Dataset automatically generated and published using Hugging Face 🤗 Datasets