Dataset for the Paper: "Understanding Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study"

This is the dataset for the paper: "Understanding Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study". It contains the 3004 Self-Claimed Assumptions (SCAs) extracted from nine deep learning frameworks (i.e., TensorFlow, Theano, PyTorch, Caffe, MXNet, Keras, CNTK, DL4J, and PaddlePaddle), which includes 2232 unique SCAs that have different content and 772 duplicated SCAs that have the same content as one of the 2232 SCAs.

本数据集对应论文《深度学习框架中自我声明假设的探索性研究》（英文原文：Understanding Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study）。本数据集包含从9个深度学习框架（即TensorFlow、Theano、PyTorch、Caffe、MXNet、Keras、CNTK、DL4J及PaddlePaddle）中提取的3004条自我声明假设（Self-Claimed Assumptions，以下简称SCA），其中包含2232条内容各异的唯一SCA，以及772条与该2232条SCA中任意一条内容完全一致的重复SCA。