axd353/NoRA-1.1
收藏Hugging Face2025-10-18 更新2025-10-25 收录
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https://hf-mirror.com/datasets/axd353/NoRA-1.1
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资源简介：
NoRA-1.1数据集是用于系统神经关系推理的When No Paths Lead to Rome基准的一部分，包含一个训练集和三个测试集（test_d_na、test_bl_na和test_opec_na）。该数据集旨在评估神经网络在符号推理方面的性能，特别是对于系统性概括和组合概括的能力。数据集包含多种特征，如边类型、故事边、查询边、查询标签、推理深度等，可用于链接预测和神经符号AI研究。
The NoRA-1.1 dataset is part of the When No Paths Lead to Rome benchmark for systematic neural relational reasoning, which includes one training set and three test sets (test_d_na, test_bl_na, and test_opec_na). The dataset is designed to evaluate the performance of neural networks in symbolic reasoning, particularly in systematic generalization and compositional generalization. It contains various features such as edge types, story edges, query edges, query labels, reasoning depth, etc., which can be used for link prediction and neuro-symbolic AI research.
提供机构：
axd353
