Project Gutenberg - Characters, Authors and their Gender

The raw data for the study was obtained from a cleaned version of Project Gutenberg, which has 3,036 English books as text files, penned by 142 authors between 1700-1950. Out of the 142 authors, 14 are female. The first file, a 'books_data_json.txt', contains processed books data is in the form of a JSON (JavaScript Object Notation) text file containing each of the 3036 books information in as many dictionaries. Each book has the title of the book as the main key and another dictionary with the information about the book as its value. The keys in this dictionary are: ‘author_male?’: True if the author is male and False if the author if female ‘author_year’: active decade of the author ‘characters’: a list of all characters in the book ‘character_count’: {‘male’: number of male characters, ‘female’: number of female characters} ‘character_occurrence_count’: {‘male’: number of times male characters are referenced, ‘female’: number of times female characters are referenced} ‘pronoun_count’: {‘male’: number of male pronouns in the book, ‘female’: number of female pronouns in the book} The second file, 'Authors_Metadata.xlsx', contains information about each author in the dataset, specifically - gender, active year of the author, genres of their work and the number of books by the author in the dataset. All the information about the author was collected manually using resources from the internet like Wikipedia.本研究的原始数据源自古腾堡计划（Project Gutenberg）的清理版数据集，该数据集收录了1700年至1950年间142位作者创作的3036部英文文本书籍，其中14位作者为女性。 首个数据文件为`"books_data_json.txt"`，该文件为经过预处理的JSON（JavaScript对象表示法）文本文件，以字典形式存储全部3036部书籍的信息。每部书籍均以书名为唯一主键，其对应的值为包含该书籍详细信息的子字典。该子字典包含以下键： 1. `"author_male?"`：布尔值，若作者为男性则取值为True，女性则为False； 2. `"author_year"`：作者的活跃年代（以十年为单位）； 3. `"characters"`：书籍中出现的全部角色列表； 4. `"character_count"`：字典格式，包含`"male"`（男性角色数量）与`"female"`（女性角色数量）两个字段； 5. `"character_occurrence_count"`：字典格式，包含`"male"`（男性角色被提及次数）与`"female"`（女性角色被提及次数）两个字段； 6. `"pronoun_count"`：字典格式，包含`"male"`（书中男性代词数量）与`"female"`（书中女性代词数量）两个字段。 第二个数据文件为`"Authors_Metadata.xlsx"`，该文件存储了数据集中每位作者的元数据信息，具体包括作者性别、活跃年份、作品体裁以及该作者在本数据集中的作品总量。所有作者信息均通过维基百科等互联网资源手动采集整理。