Bivaltyp. Typological database of bivalent verbs and their encoding frames

This archive contains the dataset used for Bivaltyp: Typological database of bivalent verbs and their encoding frames. For the explanation of the tags used in the spreadsheets, see www.bivaltyp.info, especially 1) https://www.bivaltyp.info/howtoreadthedata/ for the presentation of data on individual sentences, patterns and verbs, and 2) the description at https://www.bivaltyp.info/languages/listview/ for the information on languages, including some cumulative parameters of their valency class systems. predicates.csv is a spreadsheet with the verbs and their argument frames used as the questionnaire for this study. languages.csv contains the basic info on the 85 languages of the sample (glottode, genealogical information, contributors, etc.) valency_patterns_main.csv contains the data gathered in the project (valency patterns associated with specific verbs in individual languages, translations of the stimulus sentences (where available), etc.). language_stats.csv is a spreadsheet with the cumulative properties of languages based on data collected in the project (the ratio of transitive verbs, entropy, etc.) unnormalised_data.xlsx contains the data on valency patterns gathered in the project; it is similar to valency_patterns_main.csv, but the rows redundantly display explicit information on language names, predicate labels, etc.本归档文件包含用于Bivaltyp：二价动词（bivalent verbs）及其编码框架（encoding frames）类型学数据库的数据集。如需了解电子表格中所用标签的说明，请访问www.bivaltyp.info，具体包括：1）https://www.bivaltyp.info/howtoreadthedata/，用于说明单句、配价模式（valency patterns）及动词相关数据的呈现规则；2）https://www.bivaltyp.info/languages/listview/ 处的说明文档，用于获取语言相关信息，涵盖其配价类系统（valency class systems）的部分累积参数。predicates.csv为一份电子表格，收录了本研究问卷所使用的动词及其论元框架（argument frames）。languages.csv包含本次研究样本中85种语言的基础信息，涵盖glottode、系谱分类信息、贡献者等内容。valency_patterns_main.csv收录了本项目收集的研究数据，包括各语言中与特定动词关联的配价模式、诱导句翻译（如有提供）等内容。language_stats.csv为一份电子表格，基于本项目采集的数据汇总了各语言的累积特征，例如及物动词占比、熵值等。unnormalised_data.xlsx收录了本项目收集的配价模式相关数据，其内容与valency_patterns_main.csv类似，但各行额外冗余展示了语言名称、谓词标签等显性信息。