Datasets:

dascim
/

GreekMMLU

@@ -1443,7 +1443,7 @@ dataset_info:
 ![截屏2026-02-03 23.44.48 (1)](https://cdn-uploads.huggingface.co/production/uploads/682b190a4c3daf53d9661890/OPWtCsWkE9difLhqHjALb.png)
-# 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.
 21,805 questions across 45 subjects
@@ -1468,24 +1468,23 @@ ds = load_dataset("dascim/GreekMMLU", "Agriculture_Professional")
 ds = load_dataset("dascim/GreekMMLU", "All")
-# Links
 GitHub: https://github.com/mersinkonomi/GreekMMLU
 Private leaderboard: https://huggingface.co/spaces/yangzhang33/GreekMMLU-Leaderboard
-# 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
-# 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)
@@ -1494,7 +1493,7 @@ GreekMMLU includes 45 subjects, grouped into:
 **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:

 ![截屏2026-02-03 23.44.48 (1)](https://cdn-uploads.huggingface.co/production/uploads/682b190a4c3daf53d9661890/OPWtCsWkE9difLhqHjALb.png)
+## 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.
 21,805 questions across 45 subjects
 ds = load_dataset("dascim/GreekMMLU", "All")
+## Links
 GitHub: https://github.com/mersinkonomi/GreekMMLU
 Private leaderboard: https://huggingface.co/spaces/yangzhang33/GreekMMLU-Leaderboard
+## 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
+## 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)
 **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: