Add JSON dataset and README

README.md

@@ -1,3 +1,87 @@
 ---
+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
+configs:
+- config_name: default
+  data_files:
+    path: tajik_benchmark_complete.json
 license: mit
+task_categories:
+- question-answering
+- multiple-choice
+tags:
+- tajik
+- linguistics
+- ntc
+- education
+pretty_name: TajLiB
+size_categories:
+- n<1K
 ---
+
+# 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. 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:** ~912 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")
+```
+
+### 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"
+}
+```