metadata

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 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	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.

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}, 
}