Tajik Linguistic Benchmark (TajLiB)

Dataset Description

TajLiB (Tajik Linguistic Benchmark) is a comprehensive multiple-choice question benchmark designed to evaluate the linguistic understanding of Large Language Models (LLMs) in the Tajik language.

It assesses the model's knowledge of Tajik phonetics, grammar, lexicology, and orthography. The dataset is derived from official materials prepared for the Centralized Entrance Exams (Markazi Millii Testi - NTC.tj) for the year 2025.

Dataset Summary

• Language: Tajik (tg)
• Source: National Testing Center (Markazi Millii Testi) - Entrance Exams 2025.
• Size: ~919 multiple-choice questions.
• Task: Multiple-Choice Question Answering.

How to Use

To load and use the dataset:

from datasets import load_dataset
dataset = load_dataset("f1rdavs/TajLiB")

Example Output

{
    "id": "TJ0001",
    "question": "Дар кадом калима зада дар ҳиҷои аввал меояд?",
    "option_a": "саҳро",
    "option_b": "имрӯз",
    "option_c": "берун",
    "option_d": "сӯзан",
    "answer": "B"
}