thebooort/spanish_golden_age_sonnets|西班牙黄金时代诗歌数据集|韵律分析数据集
收藏西班牙黄金时代十四行诗语料库
简介
该语料库包含16世纪至17世纪用西班牙语创作的十四行诗。该语料库是从之前的.xml格式数据集转换为.csv格式的数据集。所有原始数据集的信息可以在其原始仓库中查阅。
每个十四行诗都按照TEI标准进行了标注。除了头部和结构信息外,每个十四行诗还包括每个诗句的特定韵律模式的形式表示。
韵律模式由非重读音节(用"-"表示)和重读音节(用"+"表示)的序列组成。因此,每个诗句的韵律模式表示如下:
"---+---+-+-"
韵律模式中的每一行对应于sonnet_text列中的一行。
列描述
- author (字符串): 十四行诗的作者
- sonnet_title (字符串): 十四行诗的标题
- sonnet_text (字符串): 特定十四行诗的全文,按行分割( )
- metric_pattern (字符串): 十四行诗的全文韵律模式,按行分割( )
- reference_id (整数): 从中提取十四行诗的原始XML文件的ID
- publisher (字符串): 出版者名称
- editor (字符串): 编辑者名称
- research_author (字符串): 主要研究作者名称
- metrical_patterns_annotator (字符串): 标注检查者名称
- research_group (字符串): 处理十四行诗的研究组名称
诗人
为了尽可能具有代表性,该语料库包含了16世纪和17世纪所有拥有超过10首数字化和可用十四行诗的作者。
所有文本均来自米格尔·德·塞万提斯虚拟图书馆。
目前,该语料库包含超过5,000首十四行诗(超过71,000行)。
标注
韵律模式标注是以半自动方式进行的。首先,所有十四行诗都由一个自动韵律扫描系统处理,该系统为每个诗句分配一个独特的韵律模式。其次,部分语料库已手动检查并纠正了错误。
目前,该语料库正在进行手动验证阶段,每个十四行诗都包含是否已手动检查的信息。
引用该语料库
如果您希望在学术研究中引用该语料库,请使用以下参考文献:
Navarro-Colorado, Borja; Ribes Lafoz, María, and Sánchez, Noelia (2015) "Metrical annotation of a large corpus of Spanish sonnets: representation, scansion and evaluation" 10th edition of the Language Resources and Evaluation Conference 2016 Portorož, Slovenia.
许可证
该语料库的韵律标注在Creative Commons Attribution-Non Commercial 4.0 International License下发布。
关于文本,"该数字对象受版权和/或相关权利保护。该数字对象可免费访问,但其使用受提供该对象的组织的许可条件限制。更多信息请访问http://www.cervantesvirtual.com/marco-legal/ "。
CatMeows
该数据集包含440个声音样本,由21只属于两个品种(缅因州库恩猫和欧洲短毛猫)的猫在三种不同情境下发出的喵声组成。这些情境包括刷毛、在陌生环境中隔离和等待食物。每个声音文件都遵循特定的命名约定,包含猫的唯一ID、品种、性别、猫主人的唯一ID、录音场次和发声计数。此外,还有一个额外的zip文件,包含被排除的录音(非喵声)和未剪辑的连续发声序列。
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Figshare
Figshare是一个在线数据共享平台,允许研究人员上传和共享各种类型的研究成果,包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。
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Canadian Census
**Overview** The data package provides demographics for Canadian population groups according to multiple location categories: Forward Sortation Areas (FSAs), Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs), Federal Electoral Districts (FEDs), Health Regions (HRs) and provinces. **Description** The data are available through the Canadian Census and the National Household Survey (NHS), separated or combined. The main demographic indicators provided for the population groups, stratified not only by location but also for the majority by demographical and socioeconomic characteristics, are population number, females and males, usual residents and private dwellings. The primary use of the data at the Health Region level is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information to monitor, plan, implement and evaluate programs to improve the health of Canadians and the efficiency of health services. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the health region data to raise awareness about health, an issue of concern to all Canadians. The Census population counts for a particular geographic area representing the number of Canadians whose usual place of residence is in that area, regardless of where they happened to be on Census Day. Also included are any Canadians who were staying in that area on Census Day and who had no usual place of residence elsewhere in Canada, as well as those considered to be 'non-permanent residents'. National Household Survey (NHS) provides demographic data for various levels of geography, including provinces and territories, census metropolitan areas/census agglomerations, census divisions, census subdivisions, census tracts, federal electoral districts and health regions. In order to provide a comprehensive overview of an area, this product presents data from both the NHS and the Census. NHS data topics include immigration and ethnocultural diversity; aboriginal peoples; education and labor; mobility and migration; language of work; income and housing. 2011 Census data topics include population and dwelling counts; age and sex; families, households and marital status; structural type of dwelling and collectives; and language. The data are collected for private dwellings occupied by usual residents. A private dwelling is a dwelling in which a person or a group of persons permanently reside. Information for the National Household Survey does not include information for collective dwellings. Collective dwellings are dwellings used for commercial, institutional or communal purposes, such as a hotel, a hospital or a work camp. **Benefits** - Useful for canada public health stakeholders, for public health specialist or specialized public and other interested parties. for health surveillance and population health research. for monitoring, planning, implementation and evaluation of health-related programs. media agencies may use the health regions data to raise awareness about health, an issue of concern to all canadians. giving the addition of longitude and latitude in some of the datasets the data can be useful to transpose the values into geographical representations. the fields descriptions along with the dataset description are useful for the user to quickly understand the data and the dataset. **License Information** The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes. **Included Datasets** - [Canadian Population and Dwelling by FSA 2011](https://www.johnsnowlabs.com/marketplace/canadian-population-and-dwelling-by-fsa-2011) - This Canadian Census dataset covers data on population, total private dwellings and private dwellings occupied by usual residents by forward sortation area (FSA). It is enriched with the percentage of the population or dwellings versus the total amount as well as the geographical area, province, and latitude and longitude. The whole Canada's population is marked as 100, referring to 100% for the percentages. - [Detailed Canadian Population Statistics by CMAs and CAs 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-cmas-and-cas-2011) - This dataset covers the population statistics of Canada by Census Metropolitan Areas (CMAs) and Census Agglomerations (CAs). It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by FED 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-fed-2011) - This dataset covers the population statistics of Canada from 2011 by Federal Electoral District of 2013 Representation Order. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Health Region 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-health-region-2011) - This dataset covers the population statistics of Canada by health region. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. - [Detailed Canadian Population Statistics by Province 2011](https://www.johnsnowlabs.com/marketplace/detailed-canadian-population-statistics-by-province-2011) - This dataset covers the population statistics of Canada by provinces and territories. It is categorized also by citizen/immigration status, ethnic origin, religion, mobility, education, language, work, housing, income etc. There is detailed characteristics categorization within these stated categories that are in 5 layers. **Data Engineering Overview** **We deliver high-quality data** - Each dataset goes through 3 levels of quality review - 2 Manual reviews are done by domain experts - Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints - Data is normalized into one unified type system - All dates, unites, codes, currencies look the same - All null values are normalized to the same value - All dataset and field names are SQL and Hive compliant - Data and Metadata - Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters - Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated - Data Updates - Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted **Our data is curated and enriched by domain experts** Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts: - Field names, descriptions, and normalized values are chosen by people who actually understand their meaning - Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset - Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations - The data is always kept up to date – even when the source requires manual effort to get updates - Support for data subscribers is provided directly by the domain experts who curated the data sets - Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution. **Need Help?** If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
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FER2013
FER2013数据集是一个广泛用于面部表情识别领域的数据集,包含28,709个训练样本和7,178个测试样本。图像属性为48x48像素,标签包括愤怒、厌恶、恐惧、快乐、悲伤、惊讶和中性。
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网易云音乐数据集
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