--- license: cc task_categories: - text-classification - question-answering language: - en size_categories: - 10K [Computer Science SE](https://cs.stackexchange.com/) - 'ds.csv' --> [Data Science SE](https://datascience.stackexchange.com/) - 'p.csv' --> [Political Science SE](https://politics.stackexchange.com/) Each CSV file has the following columns: - `id`: the question id - `title`: the title of the question - `body`: the body or text of the question - `tags`: the list of tags assigned to the question - `label`: a label indicating whether the question is resolved or not (0: not resolved; 1: resolved) The dataset was used in these researches: - [A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling](https://doi.org/10.1007/s41060-023-00454-0) - [Survival analysis for user disengagement prediction: question-and-answering communities’ case](https://doi.org/10.1007/s13278-022-00914-8)