Stack Trace Dataset
收藏arXiv2025-09-30 收录
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https://github.com/RemilYoucef/deep-locality-sensitive-hashing
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资源简介：
该数据集包含了由ERP软件自动上报的实际堆栈追踪信息，用于训练模型以识别近似的崩溃报告。数据集中的堆栈追踪对根据多种相似度函数被分配了相似度值。该数据集用于评估DeepLSH模型在不同相似度测量方法下的有效性。其规模包括训练用的499500对数据，以及验证和测试用的99900对数据。该任务的目标是检测近似的崩溃报告。
This dataset comprises real stack trace information automatically reported by ERP software, and is intended for training models to identify approximate crash reports. Stack trace pairs within the dataset are assigned similarity scores based on multiple similarity functions. This dataset is used to evaluate the effectiveness of the DeepLSH model under different similarity measurement methods. In terms of scale, it includes 499,500 pairs of training data, as well as 99,900 pairs of data for validation and testing. The goal of this task is to detect approximate crash reports.
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