---
dataset_info:
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: option_a
    dtype: string
  - name: option_b
    dtype: string
  - name: option_c
    dtype: string
  - name: option_d
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: grammar
    num_bytes: 330269
    num_examples: 919
  - name: law
    num_bytes: 135655
    num_examples: 336
  - name: literature
    num_bytes: 178133
    num_examples: 320
  download_size: 294150
  dataset_size: 644057
configs:
- config_name: default
  data_files:
  - split: grammar
    path: data/grammar-*
  - split: law
    path: data/law-*
  - split: literature
    path: data/literature-*
license: mit
task_categories:
- question-answering
- multiple-choice
tags:
- tajik
- linguistics
- ntc
- education
pretty_name: TajLiB
size_categories:
- n<2K
language:
- tg
---

# Tajik Linguistic Benchmark (TajLiB)

## Table of Contents

- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks](#supported-tasks)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
  - [Source Data](#source-data)
  - [Curation Process](#curation-process)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Citation Information](#citation-information)

## 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, as well as its ability to understand and reason about domains related to Tajik language usage, including legal texts and Tajik literature. 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:** 1575 multiple-choice questions.
- **Task:** Multiple-Choice Question Answering.

### How to Use

To load and use the dataset:

```python
from datasets import load_dataset
dataset = load_dataset("f1rdavs/TajLiB")
dataset["grammar"]
```

### Example Output

``` json
{
    "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"
}
```

### Citation
If you use TajLiB in your research, experiments, or publications, please cite the dataset using the citation information provided below.

```bibtex
@dataset{tajlib2025,
  title     = {TajLiB: Tajik Linguistic Benchmark},
  author    = {Firdavs Sultonov},
  year      = {2025},
  publisher = {HuggingFace Datasets},
  url       = {https://huggingface.co/datasets/f1rdavs/TajLiB}
}
```