  We conducted a labeling work on a spoken Japanese dataset (I-JAS) for the
text classification, which contains 50 interview dialogues of two-way Japanese
conversation that discuss the participants' past present and future. Each
dialogue is 30 minutes long. From this dataset, we selected the interview
dialogues of native Japanese speakers as the samples. Given the dataset, we
annotated sentences with 13 labels. The labeling work was conducted by native
Japanese speakers who have experiences with data annotation. The total amount
of the annotated samples is 20130.
