---
configs:
- config_name: General Knowledge
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-KGK.csv
- config_name: History
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-HI.csv
- config_name: Loan Words
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-LW.csv
- config_name: Reading Comprehension
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-RC.csv
- config_name: Rare Words
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-RW.csv
- config_name: Standard Nomenclature
  data_files:
  - split: test
    path: data/HAERAE-Bench-v1-SN.csv
---

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
```

*We've observed minor differences with the original paper, we postulate that this is mostly because of the update in the LM-Eval-Harness repo.*

### Point of Contact
For any questions contact us via the following email:)
```
spthsrbwls123@yonsei.ac.kr
```