Sponsored by Dstlįiltered, categorisation using Baleen typesĬlassification, Entity and Relation recognitionĬlickbait, spam, crowd-sourced headlines from 2010 to 2015Įntire news corpus of ABC Australia from 2003 to 2019 RE3D (Relationship and Entity Extraction Evaluation Dataset)Įntity and Relation marked data from various news and government sources. ![]() Large corpus of Reuters news stories in multiple languages. Large corpus of Reuters news stories in English.įine-grain categorization and topic codes.Ĭlassification, clustering, summarization ViHOS: Hate Speech Spans Detection for VietnameseĮnglish news articles about the case relating to allegations of sexual assault against the former IMF director Dominique Strauss-Kahn. Vietnamese Open-domain Complaint Detection dataset (ViOCD) Vietnamese Social Media Emotion Corpus (UIT-VSMEC) Vietnamese Students’ Feedback Corpus (UIT-VSFC) Ratings are fine-grain and include many aspects of airport experience.įeatures of each instance such as class, class size, and instructor are given. User reviews of airlines, airports, seats, and lounges from Skytrax. User vote data for pairs of videos shown on YouTube. Over 10M ratings of artists by Yahoo users.Ĭar properties and their overall acceptability. Yahoo! Music User Ratings of Musical Artists Reviews of cars and hotels from and TripAdvisor respectively.Ģ2,000,000 ratings and 580,000 tags applied to 33,000 movies by 240,000 users. These datasets consist primarily of text for tasks such as natural language processing, sentiment analysis, translation, and cluster analysis. Main article: List of datasets in computer vision and image processing Text data List of portals suitable for a specific subtype of applications Archived 26 June 2020 at the Wayback Machine Global Open Data Index – Open Knowledge Foundation ![]() The data portal sometimes lists a wide variety of subtypes of datasets pertaining to many machine learning applications. The open source license based data portals are known as open data portals which are used by many government organizations and academic institutions. The data portal is classified based on its type of license. Verified, In-Preparation, Deactivated(or Deprecated) Last-Hour, Last-Day, Last-Week, Last-Month, Last-Year Tabular, Graph, Text, Image, Sound, VideoĬSV, JSON, XML, KML, GeoJSON, Shapefile, GMLĬreative-Commons, GPL, Other Non-Open data licenses Mandarin Chinese, Spanish, English, Arabic, Hindi, Bengali Supranational Union, National, Subnational, Municipality, Urban, Rural List of sorting used for datasets Typeįinance, Economics, Commerce, Societal, Health, Academy, Sports, Food, Agriculture, Travel, Geospatial, Political, Consumer, Transport, Logistics, Environmental, Real-Estate, Legal, Entertainment, Energy, Hospitality The datasets are made available as various sorted types and subtypes. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ported on open data portals. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are classified, based on the licenses, as Open data and Non-Open data. Many organizations including governments publish and share their datasets. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce. High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. Datasets are an integral part of the field of machine learning. These datasets are applied for machine learning (ML) research and have been cited in peer-reviewed academic journals.
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