Update README.md

README.md

@@ -1441,27 +1441,39 @@ dataset_info:
   dataset_size: 93541
 ---
 
-# Greek MMLU Parquet Dataset
+# GreekMMLU
+GreekMMLU is a native-sourced benchmark for evaluating massive multitask language understanding in Greek, built from authentic Greek exam-style multiple-choice questions (MCQ) rather than machine-translated English benchmarks.
 
-This dataset contains the Greek MMLU benchmark converted to Parquet format.
-It covers 46 subjects, including a combined 'All' split.
+21,805 questions across 45 subjects
+4 high-level groups: STEM, Humanities, Social Sciences, Other
+Difficulty/education levels spanning Primary → Secondary → University → Professional (+ an NA bucket)
+Public vs. private split for contamination-resistant evaluation: 16,857 public / 4,948 private (leaderboard)
 
-## Structure
-- **Configs**: Each subject is a separate configuration (subset).
-- **Splits**:
-  - `test`: Public test set (High volume)
-  - `dev`: Dev/Few-shot set (5-shot)
+# Links
+Dataset on Hugging Face: https://huggingface.co/datasets/dascim/GreekMMLU
+Private leaderboard: https://huggingface.co/spaces/yangzhang33/GreekMMLU-Leaderboard
 
-## Usage
-```python
-from datasets import load_dataset
+# What makes GreekMMLU different?
+Most “Greek MMLU” style evaluations rely on machine translation from English. GreekMMLU instead uses original Greek content sourced or authored from real educational/professional assessments, aiming to preserve:
+Greek morphology and punctuation
+Greek-specific cultural / institutional knowledge (e.g., Greek History, Greek Traditions)
+Realistic exam difficulty calibration
 
-# Load specific subject 
-ds = load_dataset("dascim/GreekMMLU", "Agriculture_Professional")
+# Task format
+Multiple choice, 2–4 options, exactly one correct.
+The harness prompt uses Greek option labels (Α, Β, Γ, Δ) for a fully native evaluation setup.
+
+
+# Subjects (high-level)
+GreekMMLU includes 45 subjects, grouped into:
+
+**Humanities** (e.g., Art; Greek History; Greek Literature; Greek Mythology; Law; World Religions)
+**STEM** (e.g., Mathematics; Physics; Computer Science; Electrical Engineering; Medicine)
+**Social Sciences** (e.g., Economics; Education; Government & Politics; Modern Greek Language; Accounting)
+**Other** (e.g., Driving Rules; General Knowledge; Maritime Safety and Rescue Operations)
+See the paper for the full taxonomy and educational-level breakdown.
+
+# Citation
+If you use GreekMMLU in your work, please cite the paper:
 
-# Load all data combined
-ds = load_dataset("dascim/GreekMMLU", "All")
-```
 
-## Subjects
-`Accounting`, `Agriculture_Professional`, `Agriculture_University`, `Art_Professional`, `Art_Secondary_School`, `Art_University`, `Biology`, `Chemistry`, `Civil_Engineering`, `Clinical_Knowledge`, `Computer_Networks_and_Security`, `Computer_Science_Professional`, `Computer_Science_University`, `Driving_Rules`, `Economics_Professional`, `Economics_University`, `Education_Professional`, `Education_University`, `Electrical_Engineering`, `General_Knowledge`, `Geography_Primary_School`, `Geography_Secondary_School`, `Government_and_Politics_Primary_School`, `Government_and_Politics_Secondary_School`, `Greek_History_Primary_School`, `Greek_History_Professional`, `Greek_History_Secondary_School`, `Greek_Literature`, `Greek_Mythology`, `Greek_Traditions`, `Law`, `Management_Professional`, `Management_University`, `Maritime_Safety_and_Rescue_Operations`, `Mathematics`, `Medicine_Professional`, `Medicine_University`, `Modern_Greek_Language_Primary_School`, `Modern_Greek_Language_Secondary_School`, `Physics_Primary_School`, `Physics_Professional`, `Physics_University`, `Prehistory`, `World_History`, `World_Religions`