datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
keval-testset
keval_test
The keval-testset is a dataset designed for training and validating the keval model.
The keval model follows the LLM-as-a-judge approach, which evaluates LLMs by assessing their responses to prompts from the ko-bench dataset. In other words, the keval model assigns scores to LLM-generated responses based on predefined evaluation criteria.
The keval-testset serves as a crucial resource for training and validating the keval model, enabling precise benchmarking and… See the full description on the dataset page: https://huggingface.co/datasets/davidkim205/keval-testset.kgrammar-testset
kgrammar-testset
The kgrammar-testset is a dataset designed for training and validating the kgrammar model, which identifies grammatical errors in Korean text and outputs the number of detected errors.
The kgrammar-testset was generated using GPT-4o. To create error-containing documents, a predefined prompt was used to introduce grammatical mistakes into responses when given a question. The dataset is structured to ensure a balanced distribution, consisting of 50% general questions… See the full description on the dataset page: https://huggingface.co/datasets/davidkim205/kgrammar-testset.llama-3.1-medprm-reward-raw-test-setsubtitle-summary-testset
Subtitle Summary & Keyword — Test set (YouTube)
방송 유튜브 자막 기반 누적 요약 + 검색 키워드 태스크의 평가용 테스트셋입니다.
jungsanghyun/subtitle-summary-dataset의 train/validation과 겹치지 않는 별도 방송으로, 동일 파이프라인(Qwen3-235B, vLLM, 자막-only)으로 생성했습니다.
규모
split
회차
레코드(5분)
test
114
519
약 25시간 · 요약 중앙값 59자 · 도메인: Entertainment 236 · News & Politics 103 · Pets & Animals 87 · Travel & Events 34 · Education 31 · Music 28
스키마
program_name, last_summary, 5min_script(입력) →… See the full description on the dataset page: https://huggingface.co/datasets/jungsanghyun/subtitle-summary-testset.