I want to test machine learning tasks on time-divided textual data set. For this purpose, I want to use a common text data set which is already validated and "good" for use. I already found a Web of Science data set from this source:
K. Kowsari, D. E. Brown, M. Heidarysafa, K. Jafari Meimandi, M. S. Gerber and L. E. Barnes, "HDLTex: Hierarchical Deep Learning for Text Classification", 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 364-371. doi: 10.1109/ICMLA.2017.0-134
Unfortunately, the data set does not include data about the time of the publications, which I really need for my algorithms. Can anyone recommend a common textual data set for me which is divided into time windows?