This directory contains the Shared-Character Stories dataset (759 stories) and annotations for its subset (100 stories and 623 annotations). They are introduced in our paper:
Yusuke Mori, Hiroaki Yamane, Yoshitaka Ushiku, Tatsuya Harada, "How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness," Information Processing & Management, 2019. Link
- ./stories/condstories.csv
- 759 stories, conditioned with two-character settings
- story id
- two-character setting
- from 1st to 5th sentence of the story (sent_1 ~ sent_5)
- Note that “athlete” was misspelled as “athelete” in our settings, but no workers seemed to be confused by the typo.
- 759 stories, conditioned with two-character settings
-
./emotion_evaluation/small_task_allinfo.csv
- 100 stories used for annotation (75 human-written, 25 artificial managed)
- story id
- two-character setting
- sent_1 ~ sent_5
- two-character names
- two-character setting with the names replaced
- type : a condition of the story {human-written, random last sentence, random last sentence from the same setting, random order}
- 100 stories used for annotation (75 human-written, 25 artificial managed)
-
./emotion_evaluation/eval_results.csv
- evaluated results (623 answers)
- story id
- sent_1 ~ sent_5
- Review
- Valence and Arousal of each sentence from the points of view of Character 1, Character 2, and Reader
- Five Evaluation Aspects
- clearness (clarity)
- consistency
- fluency
- meaning
- storyness
- rating : a total score
- Title : a title of the story (for 25 artificial managed stories, the title of the original human-written stories are shown)
- type : a condition of the story {human-written, random last sentence, random last sentence from the same setting, random order}
- evaluated results (623 answers)
- ./emotion_evaluation/vis_eval_results.ipynb
- using ./src/emotionplot.py
The content of this project itself is licensed under the Creative Commons Attribution-ShareAlike 4.0 License, and the underlying source code used to format and display that content is licensed under the MIT license.
@article{mori2019sharedcharacters,
title = "How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness",
journal = "Information Processing & Management",
year = "2019",
issn = "0306-4573",
doi = "https://doi.org/10.1016/j.ipm.2019.03.006",
author = "Yusuke Mori and Hiroaki Yamane and Yoshitaka Ushiku and Tatsuya Harada",
}