Update README.md

README.md

@@ -47,7 +47,7 @@ tags:
 - education
 pretty_name: TajLiB
 size_categories:
-- n<1K
+- n<2K
 language:
 - tg
 ---
@@ -73,13 +73,13 @@ language:
 
 **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.
+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:** ~919 multiple-choice questions.
+- **Size:** 1575 multiple-choice questions.
 - **Task:** Multiple-Choice Question Answering.
 
 ### How to Use
@@ -89,6 +89,7 @@ To load and use the dataset:
 ```python
 from datasets import load_dataset
 dataset = load_dataset("f1rdavs/TajLiB")
+dataset["grammar"]
 ```
 
 ### Example Output
@@ -103,4 +104,17 @@ dataset = load_dataset("f1rdavs/TajLiB")
     "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}
+}
 ```