lbox-kr / kblLinks
Korean Benchmark for Korean Legal Language Understanding
☆15Updated 9 months ago
Alternatives and similar repositories for kbl
Users that are interested in kbl are comparing it to the libraries listed below
Sorting:
- 한국어 T5 모델☆54Updated 3 years ago
- ☆106Updated last month
- Reward Model을 이용하여 언어모델의 답변을 평가하기☆29Updated last year
- ☆35Updated last year
- bpe based korean t5 model for text-to-text unified framework☆63Updated last year
- 구글에서 발표한 Chain-of-Thought Reasoning without Prompting을 코드로 구현한 레포입니다.☆67Updated 11 months ago
- #인권코퍼스☆32Updated last year
- ☆32Updated 2 years ago
- ☆20Updated last year
- Official repository for KoMT-Bench built by LG AI Research☆67Updated last year
- CLIcK: A Benchmark Dataset of Cultural and Linguistic Intelligence in Korean☆45Updated 8 months ago
- For the rlhf learning environment of Koreans☆24Updated last year
- Code and data for "KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark" (LREC-COLING…☆17Updated 4 months ago
- Performs benchmarking on two Korean datasets with minimal time and effort.☆43Updated 3 weeks ago
- huggingface에 있는 한국어 데이터 세트☆29Updated 10 months ago
- ☆28Updated 2 years ago
- StrategyQA 데이터 세트 번역☆22Updated last year
- Google 공식 Rouge Implementation을 한국어에서 사용할 수 있도록 처리☆17Updated last year
- ☆20Updated 3 years ago
- ☆96Updated 4 months ago
- ☆19Updated 4 years ago
- Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc☆80Updated last year
- [Google Meet] MLLM Arxiv Casual Talk☆52Updated 2 years ago
- Kor-IR: Korean Information Retrieval Benchmark☆89Updated last year
- ☆36Updated last year
- [Findings of NAACL2022] A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation☆27Updated 2 years ago
- KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models☆25Updated last year
- A utility for storing and reading files for Korean LM training 💾☆36Updated last year
- AutoRAG example about benchmarking Korean embeddings.