---
pretty_name: SEA-IFEval
license:
- cc-by-4.0
task_categories:
- text-generation
language:
- id
- jv
- su
- th
- tl
- vi
dataset_info:
  features:
  - name: id
    dtype: string
  - name: prompts
    list:
    - name: text
      dtype: string
  - name: prompt_templates
    sequence: string
  - name: metadata
    struct:
    - name: language
      dtype: string
    - name: category
      dtype: string
    - name: subcategory
      dtype: string
  - name: kwargs
    list:
    - name: prompt_to_repeat
      dtype: string
    - name: num_placeholders
      dtype: int64
    - name: postscript_marker
      dtype: string
    - name: section_title
      dtype: string
    - name: num_sections
      dtype: int64
    - name: num_bullets
      dtype: int64
    - name: num_highlights
      dtype: int64
    - name: keywords
      sequence: string
    - name: forbidden_words
      sequence: string
    - name: relation
      dtype: string
    - name: keyword
      dtype: string
    - name: frequency
      dtype: int64
    - name: number
      dtype: string
    - name: response_language
      dtype: string
    - name: first_word
      dtype: string
    - name: num_paragraphs
      dtype: int64
    - name: num_sentences
      dtype: int64
    - name: num_words
      dtype: int64
    - name: end_phrase
      dtype: string
  splits:
  - name: en
    num_bytes: 38653
    num_examples: 105
  - name: id
    num_bytes: 41527
    num_examples: 105
  - name: jv
    num_bytes: 38742
    num_examples: 105
  - name: su
    num_bytes: 40188
    num_examples: 105
  - name: th
    num_bytes: 63973
    num_examples: 105
  - name: tl
    num_bytes: 42445
    num_examples: 105
  - name: vi
    num_bytes: 46582
    num_examples: 105
  download_size: 187918
  dataset_size: 312110
configs:
- config_name: default
  data_files:
  - split: en
    path: data/en-*
  - split: id
    path: data/id-*
  - split: jv
    path: data/jv-*
  - split: su
    path: data/su-*
  - split: th
    path: data/th-*
  - split: tl
    path: data/tl-*
  - split: vi
    path: data/vi-*
size_categories:
- n<1K
---

# SEA-IFEval

SEA-IFEval evaluates a model's ability to adhere to constraints provided in the prompt, for example beginning a response with a specific word/phrase or answering with a certain number of sections. It is based on [IFEval](https://arxiv.org/abs/2311.07911) and was manually translated by native speakers for Indonesian, Javanese, Sundanese, Thai, Tagalog, and Vietnamese.

### Supported Tasks and Leaderboards

SEA-IFEval is designed for evaluating chat or 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
- Indonesian (id)
- Javanese (jv)
- Sundanese (su)
- Tagalog (tl)
- Thai (th)
- Vietnamese (vi)

### Dataset Details
SEA-IFEval is split by language. 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 |
|-|:-|:-|:-|:-|
| en | 105 | 3545 | 3733 | 3688 |
| id | 105 | 4512 | 4146 | 5444 |
| jv | 105 | 4409 | 4901 | 5654 |
| su | 105 | 4762 | 5651 | 6525 |
| th | 105 | 5905 | 5472 | 7035 |
| tl | 105 | 5525 | 5987 | 6736 |
| vi | 105 | 5217 | 5069 | 5171 |
| **total** | 735 | 33875 | 34959 | 40253 |

### Data Sources

| Data Source | License | Language/s | Split/s
|-|:-|:-| :-|
| [IFEval](https://huggingface.co/datasets/google/IFEval) | [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) | English | en
| SEA-IFEval^ | [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) | Indonesian, Javanese, Tagalog, Sundanese, Vietnamese | id, jv, tl, su, vi

^ manually translated from IFEval

### 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{zhou2023instructionfollowingevaluationlargelanguage,
      title={Instruction-Following Evaluation for Large Language Models}, 
      author={Jeffrey Zhou and Tianjian Lu and Swaroop Mishra and Siddhartha Brahma and Sujoy Basu and Yi Luan and Denny Zhou and Le Hou},
      year={2023},
      eprint={2311.07911},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2311.07911}, 
}
```