用于人类认知研究的短篇日记数据集.zip

This CSV file contains all the stories in Hippcorpus v2 (6854 stories) Breakdown by type of story: ``` recalled 2779 imagined 2756 retold 1319 Name: memType, dtype: int64 ``` These are the columns in the file: - `AssignmentId`: Unique ID of this story - `WorkTimeInSeconds`: Time in seconds that it took the worker to do the entire HIT (reading instructions, storywriting, questions) - `WorkerId`: Unique ID of the worker (random string, not MTurk worker ID) - `annotatorAge`: Lower limit of the age bucket of the worker. Buckets are: 18-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55+ - `annotatorGender`: Gender of the worker - `annotatorRace`: Race/ethnicity of the worker - `distracted`: How distracted were you while writing your story? (5-point Likert) - `draining`: How taxing/draining was writing for you emotionally? (5-point Likert) - `frequency`: How often do you think about or talk about this event? (5-point Likert) - `importance`: How impactful, important, or personal is this story/this event to you? (5-point Likert) - `logTimeSinceEvent`: Log of time (days) since the recalled event happened - `mainEvent`: Short phrase describing the main event described - `memType`: Type of story (recalled, imagined, retold) - `mostSurprising`: Short phrase describing what the most surpring aspect of the story was - `openness`: Continuous variable representing the openness to experience of the worker - `recAgnPairId`: ID of the recalled story that corresponds to this retold story (null for imagined stories). Group on this variable to get the recalled-retold pairs. - `recImgPairId`: ID of the recalled story that corresponds to this imagined story (null for retold stories). Group on this variable to get the recalled-imagined pairs. - `similarity`: How similar to your life does this event/story feel to you? (5-point Likert) - `similarityReason`: Free text annotation of similarity - `story`: Story about the imagined or recalled event (15-25 sentences) - `stressful`: How stressful was this writing task? (5-point Likert) - `summary`: Summary of the events in the story (1-3 sentences) - `timeSinceEvent`: Time (num. days) since the recalled event happened **Citation** Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, and James Pennebaker (2020) _Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models._ ACL.