2026-10-11T21:27:37Z https://www.scidb.cn/oai

10.57760/sciencedb.35984 2026-05-13T11:37:29Z

2026-05-13 Dataset of developer discussion texts with polarity sentiment and emotion annotations during issue resolution doi:10.57760/sciencedb.35984 en The data and the polarity sentiment labels within it are derived from public datasets collected from GitHub issues, provided by two papers: respectively, "Imtiaz N, Middleton J, Girouard P, Murphy-Hill E. Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people. In Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, 2018, pp. 55–61." and "Ding J, Sun H, Wang X, Liu X. Entity-level sentiment analysis of issue comments. In Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, 2018, pp. 7–13." On this basis, the dataset has been additionally annotated with work‑related emotion labels, which include the following three categories: "Engaged", "Confused", and "Frustrated".The first and second columns of the data are both sequence numbers, the third column is the text content, the fourth column contains the sentiment labels from the public dataset, and the fifth column contains the work‑related emotion labels annotated by the authors. issue; sentiment; GitHub; emotion Yuqian ZHuang PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset http://www.doi.org/10.1007/s11390-025-4478-0 Science Data Bank