JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection

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 experience with data annotation. labels: ssi/osi:subjective information soi/ooi:objective information op/sp:plan qu:question ap:apology th:thanking cc:topic changing/closing ag:agreement ds:disagreement re:request pr:proposal su:summarize/reformulate th:other