Datasets

Please consider using systems and benchmarks developed by us

• ArguGPT detector: ChatGPT英语作文检测器; Detecting ChatGPT-written argumentative essays
• MELA：Multilingual Evaluation of Linguistic Acceptability (10 languages: English, Chinese, Russian, Italian, German, Spanish, Japanese, French, Arabic, Icelandic) 多语句法可接受度数据集（10种语言：英、中、俄、意、德、西、日、法、阿、冰岛）
• CoLAC：Corpus of Linguistic Acceptability in Chinese 汉语句法可接受度数据集
• SwordsmanImp：A benchmark for evaluating LLMs' understanding of implied meaning in Chinese 《武林外传》言外之意数据集
• OCNLI： Original Chinese Natural Language Inference 原生汉语自然语言推理数据集
• CLUE: Chinese Language Understanding Evaluation (CLUE) benchmark 中文语言理解测评基准

NAtural LOgic Meets MAchine Learning (NALOMA) workshop

Workshop at WESSLLI 2020-2023. webpage