datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
R2R_Router_TrainingThis is the training and validation set used by the paper R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. This dataset contains token-level routing labels generated to train a lightweight router that selectively uses a Large Language Model (LLM) for critical, path-divergent tokens during inference, improving efficiency without sacrificing accuracy.
Roads to Rome (R2R) is a neural token router that efficiently combines Large Language Models (LLMs) and… See the full description on the dataset page: https://huggingface.co/datasets/nics-efc/R2R_Router_Training.routerbench-ko
RouterBench 한국어 번역 공개판
withmartian/routerbench의 영어 프롬프트를 한국어로 번역해 공개하는 데이터셋입니다.
원본: withmartian/routerbench
번역 모델: google/translategemma-27b-it
품질 검수: Codex (gpt-5.6-sol) 원문 대조 검수 및 일부 휴먼 검수
공개 데이터: 검수 결과를 반영한 최종 교정본
번역 열: prompt_ko
원본 열과 기존 평가 결과: 변경 없음
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routerbench_0shot_ko.parquet
36,497
0-shot 한국어 프롬프트
routerbench_5shot_ko.parquet
36,511
5-shot 한국어 프롬프트
routerbench_0shot_ko.jsonl.gz
36,497
0-shot 압축 JSONL… See the full description on the dataset page: https://huggingface.co/datasets/lablup/routerbench-ko.