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README.md
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data_files:
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- split: test
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path: data/test-*
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---
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data_files:
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- split: test
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path: data/test-*
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task_categories:
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- text-classification
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- zero-shot-classification
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language:
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- ko
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tags:
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- syntax
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- acceptability
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- minimalpairs
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size_categories:
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- n<1K
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---
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# Kontrast Dataset
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* Paper: [Evaluating GPTโs Ability to Understand Syntactic Minimal Pairs in Korean](https://doi.org/10.29403/LI.28.3.5)
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* Authors: [Jina Song](https://hongik.ac.kr), [Eunbi Cho](https://korea.ac.kr), [Sanghoun Song](http://corpus.mireene.com/)
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* [GitHub](https://github.com/EunB2/Kontrast)๐บ
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This dataset, **Kontrast**, contains Korean syntactic minimal pairs used to evaluate the syntactic competence of large language models (LLMs), including GPT-3.5, GPT-4, and GPT-4o.
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## Main Concept
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The dataset consists of **syntactic minimal pairs**, where each pair includes:
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* **An acceptable sentence**
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* **A less acceptable sentence** (due to a syntactic violation)
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These pairs help assess whether language models align with **native Korean speaker judgments** regarding syntactic acceptability.
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## Data Description
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This dataset consists of three subsets based on different experimental tasks:
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1. **Forced Choice Task (`ForcedChoice_160pairs.xlsx`)**
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- **160 sentence pairs** where one sentence is grammatically more acceptable than the other.
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- The model is asked to choose the more acceptable sentence.
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- **Columns:**
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- `id`: Unique identifier for the sentence pair.
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- `sentence_A`: The more acceptable sentence.
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- `sentence_B`: The less acceptable sentence.
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- `gold_label`: Correct answer (either `A` or `B`).
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2. **Yes/No Task (`YesNo_320sentences.xlsx`)**
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- **320 individual sentences** labeled as acceptable (`์`) or unacceptable (`์๋์ค`).
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- The model is asked to determine whether each sentence is acceptable.
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- **Columns:**
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- `id`: Unique identifier for each sentence.
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- `sentence`: The sentence being evaluated.
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- `gold_label`: Acceptability judgment (`์` or `์๋์ค`).
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3. **Likert Scale Task (`LikertScale_320sentences.xlsx`)**
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- **320 individual sentences**, each rated based on **acceptability judgments** by human annotators.
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- The model assigns a score between **1 and 5**, where:
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- **1 = ์ ํ ์์ฉ ๋ถ๊ฐ๋ฅํจ (Totally unacceptable)**
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- **2 = ์์ฉ ๋ถ๊ฐ๋ฅํจ (Unacceptable)**
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- **3 = ๋ณดํต์ (Neutral)**
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- **4 = ์์ฉ ๊ฐ๋ฅํจ (Acceptable)**
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- **5 = ๋งค์ฐ ์์ฉ ๊ฐ๋ฅํจ (Very acceptable)**
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- **Columns:**
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- `id`: Unique identifier for each sentence.
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- `sentence`: The sentence being evaluated.
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- `gold_label`: Acceptability judgment (`์ ๋ฌธ` or `๋น๋ฌธ`).
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### Example Data
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#### **Forced Choice Task**
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| ID | Acceptable Sentence (A) | Less Acceptable Sentence (B) | Correct Answer |
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|----|-------------------------|-----------------------------|----------------|
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| 1 | ์์ธ์ ํ๊ตญ์ ์๋์ด๋ค. | ์์ธ์ ํ๊ตญ์ ์๋๋ฟ์ด๋ค. | A |
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| 2 | ์ฒ ์๊ฐ ์ด์ ์ค ๊ฒ์ ์ํฌ์๊ฒ ์ฑ
์ด์ผ. | ์ฒ ์๊ฐ ์ด์ ์ํฌ์๊ฒ ์ค ๊ฒ์ ์ฑ
์ด์ผ. | B |
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#### **Yes/No Task**
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| ID | Sentence | Judgment |
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|----|---------|----------|
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| 1 | ์ฒ ์๊ฐ ์ด์ ์ํฌ์๊ฒ ์ค ๊ฒ์ ์ฑ
์ด์ผ. | ์ |
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| 2 | ๋น๋ฒํ ์ผ์ด๋๋ ์ ๊ดด ์ฌ๊ฑด์ด ์ฐ๋ฆฌ๋ฅผ ์ฌํ๊ฒ ํ๋ค. | ์๋์ค |
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#### **Likert Scale Task**
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| ID | Sentence | Judgment |
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|----|---------|----------|
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| 1 | ์์ธ์ ํ๊ตญ์ ์๋์ด๋ค. | ์ ๋ฌธ |
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| 2 | ์์ด๊ฐ ์์์ง ์๊ณ ์๋ค. | ๋น๋ฌธ |
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## Citation
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```
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@article{song2024evaluating,
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author = {Jina Song and Eunbi Cho and Sanghoun Song},
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title = {Evaluating GPTโs Ability to Understand Syntactic Minimal Pairs in Korean},
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journal = {Language and Information},
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volume = {28},
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number = {3},
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pages = {83-109},
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year = {2024},
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publisher = {The Korean Society for Language and Information},
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doi = {10.29403/LI.28.3.5}
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}
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```
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## License
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TBD
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