The AI2’s Reasoning Challenge (ARC) dataset is a multiple-choice question-answering dataset, containing questions from science exams from grade 3 to grade 9. The dataset is split in two partitions: Easy and Challenge, where the latter partition contains
目前，ARC项目的进展和相关的数据集已经公开，感兴趣同学可以移步ARC项目的官网看看AI2是怎样测试AI对物理世界的理解的。大侠请接好项目地址：http://data.allenai.org/arc/ 还有一份AI2给出的相关研究报告，也请一同接好：http://ai2-website.s3.amazonaws.com/publications/AI2ReasoningChallenge2018.pdf — ...
Commonsense Reasoning. We report the average of PIQA (Bisk et al., 2020), SIQA (Sap et al., 2019), HellaSwag (Zellers et al., 2019a), WinoGrande (Sakaguchi et al., 2021), ARC easy and challenge (Clark et al., 2018), OpenBookQA (Mihaylov et al., 2018), and CommonsenseQA (Ta...
目前,ARC项目的进展和相关的数据集已经公开,感兴趣同学可以移步ARC项目的官网看看AI2是怎样测试AI对物理世界的理解的。 大侠请接好项目地址: http://data.allenai.org/arc/ 还有一份AI2给出的相关研究报告,也请一同接好: http://ai2-website.s3.amazonaws.com/publications/AI2ReasoningChallenge2018.pdf ...
ARC-Challenge (Acc.) 25-shot 92.2 94.5 95.3 95.3 HellaSwag (Acc.) 10-shot 87.1 84.8 89.2 88.9 PIQA (Acc.) 0-shot 83.9 82.6 85.9 84.7 WinoGrande (Acc.) 5-shot 86.3 82.3 85.2 84.9 RACE-Middle (Acc.) 5-shot 73.1 68.1 74.2 67.1 RACE-High (Acc.) 5-shot 52.6 50.3 56.8 51.3 Trivi...
The AI2 Reasoning Challenge (ARC) dataset is a question answering, which contains 7,787 genuine grade-school level, multiple-choice science questions. The dataset is partitioned into a Challenge Set and an Easy Set. The Challenge Set contains only questions answered incorrectly by both a retrieva...
MMLU、ARC-Easy 和 ARC-Challenge 评估 LLMs 的语言理解、知识和推理。与其他基准一样,研究者仅与经过指令调整的模型进行比较,进行 zero-shot 评估。下表 2 显示了知识和语言理解基准的结果。总体而言,我们可以观察到与推理任务相似的趋势。 文本补全
Try ARC, the AI2 Reasoning Challenge},\n journal = {arXiv:1803.05457v1},\n year = {2018},\n}\n", "homepage": "https://allenai.org/data/arc", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtyp...
AI2 Reasoning Challenge (25-shot) - a set of grade-school science questions. Llama 1 (llama-65b): 57.6 LLama 2 (llama-2-70b-chat-hf): 64.6 GPT-3.5: 85.2 GPT-4: 96.3 HellaSwag (10-shot) - a test of commonsense inference, which is easy for humans (~95%) but challenging for SOT...
Try ARC, the AI2 Reasoning Challenge meetyou-ai-lab/can-mc-evaluate-llms • • 14 Mar 2018 We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering. 1 Paper Code Alignment over Heterogeneous Embeddings for Question ...