README.md

---
pretty_name: LINDSEA Syntax
license:
- cc-by-4.0
task_categories:
- text-generation
- text-classification
language:
- id
dataset_info:
- config_name: id
  features:
  - name: id
    dtype: string
  - name: label
    dtype: string
  - name: prompts
    list:
    - name: sentence_pair
      dtype: string
  - name: metadata
    struct:
    - name: category
      dtype: string
    - name: correct
      dtype: string
    - name: language
      dtype: string
    - name: linguistic_phenomenon
      dtype: string
    - name: shuffled
      dtype: bool
    - name: subcategory
      dtype: string
    - name: wrong
      dtype: string
  splits:
  - name: eval
    num_bytes: 99431
    num_examples: 380
  - name: examples
    num_bytes: 572
    num_examples: 5
  download_size: 40302
  dataset_size: 100003
- config_name: ta
  features:
  - name: id
    dtype: string
  - name: label
    dtype: string
  - name: prompts
    list:
    - name: sentence_pair
      dtype: string
  - name: metadata
    struct:
    - name: category
      dtype: string
    - name: correct
      dtype: string
    - name: language
      dtype: string
    - name: linguistic_phenomenon
      dtype: string
    - name: shuffled
      dtype: bool
    - name: subcategory
      dtype: string
    - name: wrong
      dtype: string
  splits:
  - name: eval
    num_bytes: 252226
    num_examples: 470
  - name: examples
    num_bytes: 2979
    num_examples: 5
  download_size: 67098
  dataset_size: 255205
configs:
- config_name: id
  data_files:
  - split: eval
    path: id/eval-*
  - split: examples
    path: id/examples-*
- config_name: ta
  data_files:
  - split: eval
    path: ta/eval-*
  - split: examples
    path: ta/examples-*
size_categories:
- n<1K
---

# LINDSEA Syntax

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

### Supported Tasks and Leaderboards

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

### Languages
- Indonesian (id)

### Dataset Details
LINDSEA Syntax 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 | 380 | 9493 | 9273 | 11293 |
| id_fewshot | 5 | 112 | 116 | 130 |
| **total** | 385 | 9605 | 9389 | 11423 |

### 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. 


## 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{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}, 
}
```