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metadata
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 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 CC 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

@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}, 
}