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lablup/tariff_trade_domain.synthetic_trade_qa_kr

Korean Trade Domain QA Dataset A Korean-language question-answering dataset for the international trade domain, combining 21,399 QA pairs from three complementary sources: official 무역영어 1급 certification exam questions, trade terminology definitions, and lecture-derived QA pairs. Designed for fine-tuning and evaluating LLMs on Korean trade domain knowledge. Dataset Description The dataset covers vocabulary, regulations, procedures, and concepts from Korean… See the full description on the dataset page: https://huggingface.co/datasets/lablup/tariff_trade_domain.synthetic_trade_qa_kr.

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Dataset Card

Korean Trade Domain QA Dataset

A Korean-language question-answering dataset for the international trade domain, combining 21,399 QA pairs from three complementary sources: official 무역영어 1급 certification exam questions, trade terminology definitions, and lecture-derived QA pairs. Designed for fine-tuning and evaluating LLMs on Korean trade domain knowledge.

Dataset Description

The dataset covers vocabulary, regulations, procedures, and concepts from Korean international trade — including HS codes, Incoterms, letters of credit, customs law, and trade finance. Three source types are included and identified by the source_type field.

`source_type`SourceRowsTask type
exam_mcqOfficial 무역영어 1급 certification exams (KITA)1,430Multiple-choice QA
term_qaKorean international trade terminology definitions15,678Term ↔ Definition QA
transcript_qaLLM-generated QA from lecture transcripts4,291Free-form QA
Total21,399

Data Fields

FieldTypeNullableDescription
contextstringnoQuestion context or passage. For exam_mcq: the full question with 4 numbered options and the correct answer appended (정답:). For term_qa: the term entry with definition. For transcript_qa: a lecture content fragment.
questionstringnoThe question itself.
answerstringnoThe correct answer text.
source_typestringnoSource category: exam_mcq, term_qa, or transcript_qa.

Examples

One representative row per source_type (short → medium → longer):

`source_type``context` (truncated)`question` (truncated)`answer` (truncated)
transcript_qa신용장에서 확인은행은 신용장 확인을 담당하며, 통지은행은 신용장을 전달하는 역할을 합니다신용장에서 확인은행과 통지은행의 역할은 무엇인가요?확인은행은 신용장 확인을 담당하며, 통지은행은 신용장을 전달하는 역할을 합니다
term_qa가격인하: 무역거래에서는 채무나 손해배상금을 경감하거나 세금의 미지급분의 일부 또는 전부를 취소하는 것을 말한다. 예를 들어 수입화물이 손상되어 상품가치가 하락한 경우 관세를 감액…설명: '무역거래에서는 채무나 손해배상금을 경감하거나…' 이 설명에 해당하는 무역 용어는 무엇인가요?가격인하, Abatement
exam_mcq다음 중 우리나라 대외무역법의 성격에 대한 설명으로 거리가 먼 것을 고르시오. 1. 우리나라에서 성립되고 이행되는 대외무역행위는 기본적으로 대외무역법을 적용한다. 2. 타 법에서 명시적으로 대외무역법의 적용을 배제하면 당해 법은 특별법으로서 우선 적용된다. 3. 대외무역법은 국내법으로서 외국인의 국내 무역행위는 적용 대상이 아니다. 4. 관계 행정기관의 장은…다음 중 우리나라 대외무역법의 성격에 대한 설명으로 거리가 먼 것을 고르시오. (1~4번 선택지 포함)대외무역법은 국내법으로서 국민의 국내 경제생활에 적용되는 법률이기 때문에 외국인이 국내에서 행하는 무역행위는 그 적용 대상이 아니다

Source Details

exam_mcq — 무역영어 1급 Certification Exams

Official multiple-choice questions from 22 sessions of the Korean 무역영어 1급 (International Trade English) national certification exam administered by KITA (한국무역협회). Sessions covered: 27회, 28회, 29회, 30회, 31회, 32회, 33회, 34회, 35회, 38회, 39회, 41회, 42회, 43회, 44회, 45회, 46회, 47회, 48회, 50회, 51회, 52회 (22 sessions, 1,430 questions).

Topics span Korean trade law (대외무역법), export/import procedures, customs regulation, Incoterms, UCP 600 (letters of credit), international contracts, and trade insurance.

Note on `context` format for `exam_mcq`: The context field contains the full question text including all 4 answer options (numbered 1–4) and the correct answer after 정답:. The question field repeats just the question stem and options (without the appended answer).

term_qa — Trade Terminology QA

15,678 QA pairs generated from ~7,800 Korean international trade terms (파생어 inclusive). Each term produces two complementary questions:

  • —Description → Term: Given the definition, identify the Korean (and English) term name.
  • —Term → Description: Given the term name, explain its meaning.

Terms cover Incoterms, payment instruments, customs procedures, shipping documents, trade finance, and logistics terminology.

transcript_qa — Lecture Transcript QA

4,291 QA pairs generated by LLM from lecture transcript summaries covering Korean trade education content (신용장, 무역계약, 관세법, 보험, etc.). Questions are free-form; answers are concise.

Usage

python
from datasets import load_dataset

ds = load_dataset("lablup/synthetic_trade_qa_kr")
print(ds["train"][0])

Filter by source type:

python
exam_only       = ds["train"].filter(lambda x: x["source_type"] == "exam_mcq")
term_only        = ds["train"].filter(lambda x: x["source_type"] == "term_qa")
transcript_only  = ds["train"].filter(lambda x: x["source_type"] == "transcript_qa")

Use as an instruction fine-tuning format:

python
def format_prompt(row):
    return {
        "prompt": f"Context: {row['context']}\n\nQuestion: {row['question']}\n\nAnswer:",
        "response": row["answer"],
    }

formatted = ds["train"].map(format_prompt)

Data Splits

SplitRows
train21,399

No validation or test split is provided. Create your own with train_test_split().

License

This dataset uses a mixed license:

  • —`term_qa` and `transcript_qa` (19,969 rows): CC BY 4.0
  • —`exam_mcq` (1,430 rows): Educational use only. These are verbatim or lightly reformatted questions from official KITA 무역영어 1급 certification exams. Use for research and educational purposes; redistribution or commercial use of exam content may require permission from KITA (한국무역협회).

Limitations

  • —exam_mcq questions are from real official exams and reflect the exam format (4-choice MCQ); they are not re-generated or paraphrased
  • —term_qa definitions are original paraphrases of trade terminology; they may not match official ICC/WCO wording precisely
  • —transcript_qa answers are LLM-generated and have not been independently verified by domain experts
  • —Coverage skews toward topics common in Korean trade certification exams and is not representative of all trade domains