---
pretty_name: LINDSEA Pragmatics
license:
- cc-by-4.0
task_categories:
- text-generation
- text-classification
language:
- id
dataset_info:
  features:
  - name: id
    dtype: string
  - name: label
    dtype: string
  - name: prompts
    list:
    - name: question_translated
      dtype: string
    - name: text
      dtype: string
    - name: choices_translated
      dtype: string
  - name: prompt_templates
    sequence: string
  - name: metadata
    struct:
    - name: language
      dtype: string
    - name: linguistic_phenomenon
      dtype: string
    - name: category
      dtype: string
    - name: lexical_item
      dtype: string
    - name: question
      dtype: string
    - name: choices
      dtype: string
  splits:
  - name: id
    num_bytes: 46162
    num_examples: 100
  - name: id_fewshot
    num_bytes: 644
    num_examples: 5
  download_size: 15436
  dataset_size: 46806
configs:
- config_name: default
  data_files:
  - split: id
    path: data/id-*
  - split: id_fewshot
    path: data/id_fewshot-*
size_categories:
- n<1K
---

# LINDSEA Pragmatics

LINDSEA Pragmatics is a linguistic diagnostic from [BHASA](https://arxiv.org/abs/2309.06085) that evaluates a model's understanding of linguistic phenomena, pragmatics in particular, for Indonesian.

### Supported Tasks and Leaderboards

LINDSEA Pragmatics is designed for evaluating chat or instruction-tuned large language models (LLMs).

### Languages
- Indonesian (id)

### Dataset Details
LINDSEA Pragmatics only has an Indonesian (id) split, with additional splits containing fewshot examples. 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 |
|-|:-|:-|:-|:-|
| id | 100 | 1752 | 1912 | 2253 |
| id_fewshot | 5 | 84 | 91 | 111 |
| **total** | 105 | 1836 | 2003 | 2364 |


### Data Sources

| Data Source | License | Language/s | Split/s
|-|:-|:-| :-|
| [BHASA](https://arxiv.org/abs/2309.06085) | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | Indonesian | id, id_fewshot

### 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. 


### References

```bibtex
@misc{leong2023bhasaholisticsoutheastasian,
      title={BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models}, 
      author={Wei Qi Leong and Jian Gang Ngui and Yosephine Susanto and Hamsawardhini Rengarajan and Kengatharaiyer Sarveswaran and William Chandra Tjhi},
      year={2023},
      eprint={2309.06085},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2309.06085}, 
}
```