---
pretty_name: Kalahi
license:
- cc-by-4.0
task_categories:
- multiple-choice
- text-generation
language:
- tl
dataset_info:
- config_name: tl
  features:
  - name: id
    dtype: string
  - name: label
    dtype: string
  - name: prompts
    list:
    - name: question
      dtype: string
    - name: mcq_options
      dtype: string
    - name: mcq
      dtype: string
  - name: metadata
    struct:
    - name: language
      dtype: string
    - name: category
      dtype: string
    - name: topic
      dtype: string
  splits:
  - name: eval
    num_bytes: 95931
    num_examples: 150
  download_size: 36799
  dataset_size: 95931
configs:
- config_name: tl
  data_files:
  - split: eval
    path: tl/eval-*
size_categories:
- n<1K
---

# Kalahi

Kalahi evaluates the ability of LLMs to generate responses relevant to Filipino culture in terms of shared knowledge and ethics. This dataset contains a MCQ-compatible version of the [Kalahi](https://arxiv.org/abs/2409.15380) dataset that is used in [SEA-HELM](https://leaderboard.sea-lion.ai/).

### Supported Tasks and Leaderboards

Kalahi is designed for evaluating Filipino cultural representations in instruction-tuned large language models (LLMs). It is part of the [SEA-HELM](https://leaderboard.sea-lion.ai/) leaderboard from [AI Singapore](https://aisingapore.org/).

### Languages
- Tagalog (tl)

### Dataset Details
Kalahi only has a Tagalog (tl) split. Below are the statistics for this dataset. The number of tokens only refer to the strings of text found within the `prompts` column.

| Split | # of examples | # of GPT-4o tokens | # of Gemma 2 tokens | # of Llama 3 tokens |
|-|:-|:-|:-|:-|
| tl | 150 | 23710 | 26534 | 29766 |

### Data Sources

| Data Source | License | Language/s | Split/s
|-|:-|:-| :-|
| [Kalahi](https://huggingface.co/datasets/aisingapore/kalahi) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | Tagalog | tl

### License

For the license/s of the dataset/s, please refer to the data sources table above.

We endeavor to ensure data used is permissible and have chosen datasets from creators who have processes to exclude copyrighted or disputed data. 


## Acknowledgement

This project is supported by the National Research Foundation Singapore and Infocomm Media Development Authority (IMDA), 
Singapore under its National Large Language Model Funding Initiative.

### References

```bibtex
@misc{montalan2024kalahihandcraftedgrassrootscultural,
      title={Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino}, 
      author={Jann Railey Montalan and Jian Gang Ngui and Wei Qi Leong and Yosephine Susanto and Hamsawardhini Rengarajan and William Chandra Tjhi and Alham Fikri Aji},
      year={2024},
      eprint={2409.15380},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.15380}, 
}
```