Update README.md

README.md

@@ -25,6 +25,44 @@ configs:
   - split: test
     path: data/HAERAE-Bench-v1-SN.csv
 ---
-# Dataset Card for "HaeRae_Bench"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+The HAE_RAE_BENCH 1.0 is the original implementation of the dataset froom the paper: [HAE-RAE BENCH paper](https://arxiv.org/abs/2309.02706).
+The benchmark is a collection of 1,538 instances across 6 tasks: standard_nomenclature, loan_word, rare_word, general_knowledge, history and reading comprehension.
+To replicate the studies from the paper, see below.
+
+
+### Dataset Overview
+
+| Task                        | Instances | Version | Explanation                                                         |
+|-----------------------------|-----------|---------|---------------------------------------------------------------------|
+| standard_nomenclature       | 153       | v1.0    | Multiple-choice questions about Korean standard nomenclatures from NIKL. |
+| loan_word                   | 169       | v1.0    | Multiple-choice questions about Korean loan words from NIKL.             |
+| rare_word                   | 405       | v1.0    | Multiple-choice questions about rare Korean words from NIKL.             |
+| general_knowledge           | 176       | v1.0    | Multiple-choice questions on Korean cultural knowledge.                   |
+| history                     | 188       | v1.0    | Multiple-choice questions on Korean history.                               |
+| reading_comprehension       | 447       | v1.0    | Multiple-choice questions on Korean reading comprehension from the  Korean Language Ability Test (KLAT).  |
+| **Total**                   | **1538**  |         |                                                                     |
+
+
+### Evaluation Code
+```
+!git clone https://github.com/guijinSON/lm-evaluation-harness.git
+!pip install sentencepiece
+%cd lm-evaluation-harness
+!pip install -e .
+!pip install -e ".[multilingual]"
+!pip install huggingface_hub
+
+!lm_eval --model hf \
+    --model_args pretrained=EleutherAI/polyglot-ko-12.8b \
+    --tasks HRB \
+    --device cuda:0 \
+    --batch_size auto:4 \
+    --write_out
+```
+
+### Point of Contact
+For any questions contact us via the following email:)
+```
+spthsrbwls123@yonsei.ac.kr
+```