By Gove Allen [source]
The Paintings Dataset is a rich and diverse collection of various paintings from different artists spanning across multiple time periods. It includes a wide range of art styles, techniques, and subjects, providing an extensive resource for art enthusiasts, historians, researchers, and anyone interested in exploring the world of visual arts.
This dataset aims to capture the essence of artistic expression through its vast array of paintings. From classical masterpieces to contemporary works, it offers a comprehensive perspective on the evolution of artistic creativity throughout history.
Each record in this dataset represents an individual painting with detailed information such as artist's name, artwork title (if applicable), genre/style classification (e.g., landscape, portrait), medium (e.g., oil on canvas), dimensions (height and width), and provenance details if available. Additionally, some records may include additional metadata like the year or era in which the artwork was created.
By providing such comprehensive data about each painting included within this dataset, it enables users to study various aspects of art history. Researchers can analyze trends across different time periods or explore specific artistic movements by filtering the dataset based on genre or style categories. Art enthusiasts can also use this dataset to discover new artists or artworks that align with their interests.
This valuable collection appeals not only to those seeking knowledge or inspiration from renowned artworks but also encourages exploration into lesser-known pieces that may have been overlooked in mainstream discourse. It fosters engagement with cultural heritage while promoting diversity and inclusivity within the realm of visual arts.
Whether you are interested in studying classical works by universally acclaimed painters like Leonardo da Vinci or exploring modern expressions by emerging contemporary artists—this Paintings Dataset has something for everyone who appreciates aesthetics and enjoys unraveling stories through brushstrokes on canvas
How to Use the Paintings Dataset
Welcome to the Paintings Dataset! This dataset is a comprehensive collection of various paintings from different artists and time periods. It contains information about the artist, title, genre, style, and medium of each painting. Whether you are an art enthusiast, researcher, or just curious about paintings, this guide will help you navigate through this dataset easily.
1. Understanding the Columns
This dataset consists of several columns that provide detailed information about each painting. Here is a brief description of each column:
- Artist: The name of the artist who created the painting.
- Title: The title or name given to the artwork by the artist.
- Genre: The artistic category or subject matter depicted in the painting.
- Style: The specific artistic style or movement associated with the painting.
- Medium: The materials and techniques used by the artist to create the artwork.
2. Exploring Artists and Their Paintings
One interesting way to use this dataset is to explore individual artists and their artworks. You can filter by a specific artist's name in order to retrieve all their paintings included in this collection.
For example: If you are interested in exploring all paintings by Leonardo da Vinci, simply filter using Leonardo da Vinci in Artist column using your preferred data analysis tool.
3. Analyzing Painting Genres
The genre column allows you to analyze different categories within this collection of paintings. You can examine popular genres or compare them across different eras.
To analyze genres: - Get unique values for Genre column. - Count frequency for each genre value. - Visualize results using bar charts or other graphical representations.
You might discover which genres were more predominant during certain periods or which artists were known for specific subjects!
4. Investigating Artistic Styles
Similar to genres, artistic styles also play an essential role in the world of painting. This dataset includes various styles like Impressionism, Cubism, Realism, etc. By analyzing the artistic styles column, you can explore trends and shifts in artistic movements.
To investigate styles: - Get unique values for Style column. - Count frequency for each style value. - Visualize results using bar charts or other graphical...
The Annual Arts Education survey collects information on student participation in and access to arts education at NYCDOE schools. Please note the following arts-related data are now collected from other sources: The number of certified art teachers and non-certified teachers teaching the arts is collected form the HR and BEDS survey The arts instructional hours provided to elementary students are collected from the Student Transcript and Academic Recording System (STARS) The middle and high school participation in the arts data and the NYSED requirement data are collected form STARS and the HS arts sequence data are also collected form STARS
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Global Arts market size is expected to reach $716.85 billion by 2029 at 6%, segmented as by type, museums, historical sites, zoos, and nature parks, independent artists and performing art companies, sports and arts promoters
https://www.icpsr.umich.edu/web/ICPSR/studies/38524/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38524/terms
The tables report selected forms of arts participation for U.S. states and the District of Columbia. State-level figures are reported for those estimates with coefficients of variation under 30 percent, at 90 percent confidence. The period refers to the 12 months ending February 2020. The data were derive from the 2020 Arts Basic Survey (ABS), a supplement to the Current Population Survey, and sponsored by the National Endowment for the Arts. The following state-level tables are included: Table 1A. Percent of U.S. adults who work with pottery, ceramics, or jewelry, or who create visual art such as paintings, sculpture, or graphic designs, by state Table 1B. Percent of U.S. adults do leatherwork, metalwork, or woodwork, or who weave, crochet, quilt, do needlepoint, knit, or sew, by state Table 1C. Percent of U.S. adults who play a musical instrument, by state Table 1D. Percent of U.S. adults who perform or practice any singing, by state Table 1E. Percent of U.S. adults who create any films or videos, or who take any photographs, as artistic activities, by state Table 1F. Percent of U.S. adults who attend live music, theater, or dance events, by state Table 1G. Percent of U.S. adults who go to art exhibits, by state Table 1H. Percent of U.S. adults who go out to the movies or go to see films, by state Table 1I. Percent of U.S. adults who visit buildings, neighborhoods, parks, or monuments for their historical, architectural, or design value, by state Table 1J. Percent of U.S. adults who read literature (novels or short stories, poetry, or plays), by state Table 1K. Percent of U.S. adults who use a device to watch, listen to, or download any music, theater, dance, or creative writing, or information about these art forms, by state For information about the 2020 ABS, please visit the 2020 ABS study homepage.
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Synthetic Fine Arts (Challenge, Solution) Dataset
DescriptionSynthetic Fine Arts is a 225,000-row dataset of (artistic challenge, proposed solution) pairs spanning multiple areas within Visual Arts, Performing Arts, Musical Arts, Literary Arts, Digital Arts, Art History, and Art Theory.
Each entry provides a high-level ArtisticChallenge, accompanied by a ProposedSolution referencing established or pseudo-random creative techniques, theoretical principles, and historical… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/synthetic-fine-arts.
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Graph and download economic data for Arts, Entertainment and Recreation Earnings in New York (NYEART) from Q1 1998 to Q1 2025 about arts, entertainment, recreation, earnings, NY, and USA.
About the Newark Public Art Inventory and GIS Story Map Project Public art is free, accessible to all people, and has the potential to visually connect civic spaces, promote walkable communities, and create a sense of place. Art in public spaces can allow for the discovery and a celebration of artists. It has the potential to enhance cultural identity by chronicling the historical roots of a community. Both Newark and the University of Delaware (UD) campus boast an impressive display of art. Prominent exhibits include a series of downtown murals commissioned as part of a City of Newark beautification project, a collection of sculptures by beloved local artist Charles C. Parks, and the symbolic "Wings of Thought" sculpture that serves as the focal point of UD's Mentors' Circle. Yet, in many instances, public art blends into the environment and goes virtually unnoticed. Research through Community Engagement To identify and map locations of existing art, UD's Institute for Public Administration (IPA) conducted an inventory of public art in Newark and UD campus art. The project is supported by small grants from UD’s Partnership for Arts & Culture (PAC). For the purpose of the project, public art is defined as a "permanent installation of artwork that is located indoors or outdoors and is visually, physically, and freely accessible to the public at least eight hours per day. “Newark and UD community members were invited to discover, pinpoint locations, and photograph art by using a web-based survey application (app), Survey123 for ArcGIS. Using a QR code or link to access the survey, participants could snap a picture, "geo-tag" the location, describe the art, and submit the entry. UD IPA public administration fellows Allison Michalowski and Jillian Cullen were instrumental in collecting the bulk of data and photos throughout the City of Newark and UD’s campus. A Geographic Exploration of Public Art This interactive Newark Public Art GIS Story Map was created by UD IPA public administration fellow Allison Michalowski using data using generated from the web-based survey app. It enables residents, visitors, and the UD community to virtually discover the murals, sculptures, paintings, and other art that commemorate Newark's heritage and cultural roots. Viewers can navigate individual tabs to view a combination of campus art and public art in the “All Newark Art” tab, public art within the City's corporate limits in the "City of Newark Public Art" tab, and art on the University of Delaware campus in the "UD Campus Art" tab. The “museum” symbol on the map represents on-campus locations of art galleries overseen by UD’s Special Collections and Museums. Class visits and tours are available by appointment for UD faculty, staff, students, and members of the public. In addition, Data will be uploaded to FirstMap, Delaware's centralized repository for geospatial data layers will support sharing of the dataset.
The rate of businesses (both for-profit and non-profit) that are directly related to arts and culture per 1,000 residents. Arts-related businesses are defined as belonging to industries that allow for the consumption and enjoyment of arts and culture. The following industries are identified by their primary NAICS code: music, literary, and visual arts-related retail/supplies (451140, 451211, 451220); art dealers (453920, 453920); libraries (519120); motion picture and film (521310, 532230); art schools (611610); performing arts (711110, 711120, 711130, 711190); independent artists, writers, and performers (711510); museums (712110); historical sites (712120); and zoos, gardens and nature parks (712130, 712190). The following industries are identified by their primary SIC codes: designers (152106); art publishers (274101), music, literary, and visual arts-related retail/supplies (393101, 519202, 573608, 573609, 593201, 594201, 594205, 594501, 594520, 594601, 599965, 769969); art galleries, dealers, and consultants (599969, 599988, 599989); photography (722121); calligraphers (733607); embroidery (738942); theatres (783201, 792207); theatrical support (792211, 792212); musical and live entertainment (792903, 792905, 792906, 792908, 792917, 792918, 792927); parks (799951); art and music instruction (804958, 829915, 829919); libraries (823111); museums (841201); arts organizations (841202); zoos (842201); writers (899903); visual artists (899907, 899912); art restoring (899908); and music arrangers and composers (899921). Source: InfoUSA Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023
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As per Cognitive Market Research's latest published report, the Global Online Art market size was $14.38 Billion in 2022 and it is forecasted to reach $23.79 Billion by 2030. Online Art Industry's Compound Annual Growth Rate will be 6.5% from 2023 to 2030. What is Driving Online Art Market?
Increasing adoption of smart devices and internet penetration
Rising disposable income in developing as well as developed countries drives the demand of smart devices such as tablets, smartphones, etc. The increasing adoption of smart devices and internet penetration has had a significant impact on many industries, including the art market. People can have access to different forms of art from various regions drives the online art market. With more people shopping online, the art market has seen an increase in sales through online channels. This has led to the growth of online art marketplaces and platforms, which have become an increasingly important sales channel for artists and galleries.
Online art offers access to a wider audience
Online art marketplaces and platforms have made it easier for artists to reach a wider audience, beyond their local or regional markets. This has also made it easier for collectors to discover and purchase art from artists around the world. Due to internet accessibility, it is convenient and easy to access different art and make online payments. Access to a wider audience can lead to increased sales and revenue, as artists are able to reach more potential buyers than ever before.
The Wide Range of Options and Diversity Fuels the Market Growth
Restraining Factor:
Shipping and handling challenges:
Shipping and handling challenges of different art forms such as paintings, drawings and sculptures can hamper the growth of the online art market. For instance, many artworks are fragile and/or large, making them difficult to ship and handle. This increases the shipping cost due to the need of better packaging. Shipping artworks across international borders can be particularly challenging, as there are often strict regulations and customs requirements that must be followed.
Online Art Market Opportunity:
Growing awareness about online art in emerging regions:
Due to the rising disposable income and exposure to art sector, there has been a growing awareness and appreciation for online art in emerging regions in recent years. The increasing availability and accessibility of technology, which has allowed artists from these regions to showcase their work to a global audience. Growing literacy rate of people in developing countries and increased recognition of the value of cultural diversity. It influences the interest in discovering new and unique artwork from different regions of the world, which provides an opportunity to online art market.
Impact of COVID-19 Pandemic on Online Art Market:
The COVID-19 pandemic has had a significant impact on the overall art market and online art sector is one of the most affected due to the lockdown and closing of borders. The market for online art has dropped enormously in COVID-19 pandemic. The lockdown situation, focused on healthcare industry and economic uncertainty are the other factors responsible for the dropped of online art market. In addition, pandemic has accelerated the trend towards online shopping, and this has also impacted the art market. Many art lovers are comfortable buying art online. Introduction of Online Art:
Online art deals with art that buyers and sellers trade via the internet in works of art, antiques, digital artworks, and collectibles that are commonly associated with the arts and culture sector. Online art form circumvents the traditional dominance of the physical gallery and museum system. Artists working in this sector are sometimes referred to as net artists.
There are so many hobbies to choose from. How has the popularity of diy and arts & crafts as a hobby in the U.S. changed over time? Comparing the values for 2023 Q1 and 2024 Q1, the share of consumers in the United States has stayed consistent at 26 percent. What do you do in your free time? Would you consider yourself one of the diy and art enthusiasts? Hobbies cater to different needs like creativity, self-expression, or relaxation. Rather than a pastime we look forward to our hobbies and cut out time for them regularly. If you are looking for hobby inspiration, this ranking of the most popular hobbies in the U.S. might just spark a new interest for you. The survey was conducted online among 15040 to 60327 respondents per quarter in the United States, between 2022 and 2024. Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.
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Analysis of ‘Arts For Transit - Metropolitan Transportation Authority (MTA) Permanent Art Catalogue’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/fb37b78c-e23b-46e2-a515-215d0c9c2c93 on 27 January 2022.
--- Dataset description provided by original source is as follows ---
Through the Permanent Art Program, Arts for Transit commissions public art that is seen by millions of city-dwellers as well as national and international visitors who use the MTA’s subways and trains. Arts for Transit works closely with the architects and engineers at MTA NYC Transit, Long Island Rail Road and Metro-North Railroad, to determine the parameters and sites for the artwork that is to be incorporated into each station scheduled for renovation. Both well-established and emerging artists contribute to the growing collection of works created in the materials of the system -mosaic, ceramic, tile, bronze, steel and glass. Artists are chosen through a competitive process that uses selection panels comprised of visual arts professionals and community representatives which review and select artists. This data provides the branch or station and the artist and artwork information.
--- Original source retains full ownership of the source dataset ---
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License information was derived automatically
This is a polygon data set representing planning regions used by the City of Boise Arts and History Department. The planning regions are administrative boundaries used by the Arts and History Department for general management of public art, history, and cultural assets and activities. The regions subdivide the area encompassing Boise’s city limits and area of impact. This data set has similar names and boundaries as the Boise Comprehensive Planning Areas. The accuracy is subject to errors inherited from the source data. This data was created by the City of Boise. This data is updated as changes occur to the Boise area of impact. It is current to the date of publication.
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Dataset Card for "art"
Dataset Summary
ART consists of over 20k commonsense narrative contexts and 200k explanations. The Abductive Natural Language Inference Dataset from AI2.
Supported Tasks and Leaderboards
More Information Needed
Languages
More Information Needed
Dataset Structure
Data Instances
anli
Size of downloaded dataset files: 5.12 MB Size of the generated dataset: 34.36 MB Total amount of disk used: 39.48… See the full description on the dataset page: https://huggingface.co/datasets/allenai/art.
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License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for The Arts Based School vs. North Carolina and Arts Based School District
To obtain information on type and frequency of adult participation in the arts; training and exposure (particularly while young), and their musical and artistic activity preferences
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License information was derived automatically
Commission of Fine Arts Boundaries. Identifies the region of the District of Columbia wherein the Federal Commission on Fine Arts has jurisdiction. The data source is the Commission of Fine Arts Jurisdiction document, developed August 1997, that contains a listing of all property squares. Depending upon the scope (i.e. a new building, major or minor alterations), a proposed project in areas defined in the Shipstead-Luce Act will be reviewed by the Commission of Fine Arts or by Commission staff. Staff reviews of smaller scale projects are compiled into an Appendix, which is submitted to the Commission members at each monthly meeting.
According to our latest research, the global fine art market size reached USD 68.3 billion in 2024, reflecting a robust position within the cultural and luxury goods sectors. The market is experiencing a steady compound annual growth rate (CAGR) of 5.7% from 2025 to 2033. By the end of 2033, the fine art market is forecasted to attain a value of USD 112.4 billion, fueled by increasing global wealth, the proliferation of digital sales channels, and a rising appreciation for art as both an investment and a cultural asset. This growth is underpinned by evolving consumer preferences, technological advancements, and the expanding influence of emerging economies in the global art ecosystem.
One of the primary growth factors in the fine art market is the diversification of sales channels, particularly the surge in online platforms. The digital transformation of the art world has democratized access, enabling collectors and enthusiasts from geographically diverse locations to participate in auctions and purchase works from renowned galleries. The COVID-19 pandemic acted as a catalyst, accelerating the adoption of online sales, which now account for a significant share of overall transactions. This shift has not only broadened the audience base but also introduced innovative tools such as virtual viewing rooms, augmented reality previews, and blockchain-based provenance verification, further enhancing buyer confidence and transparency in the market. As digital literacy continues to rise globally, the fine art market is poised to benefit from the seamless integration of technology into the traditional art buying experience.
Another key driver is the expanding demographic of art collectors, especially among younger generations and high-net-worth individuals in emerging economies. Millennials and Generation Z are increasingly viewing art as a viable alternative investment, motivated by both aesthetic appreciation and the potential for financial returns. This trend is particularly pronounced in regions such as Asia Pacific and the Middle East, where rapid economic growth and cultural investment have fostered a burgeoning class of collectors. Institutions and corporations are also playing a more prominent role, acquiring fine art to enhance their brand image, diversify investment portfolios, and support cultural heritage initiatives. The growing institutional demand, coupled with private acquisitions, is contributing to the sustained momentum of the global fine art market.
Additionally, the fine art market is being shaped by a heightened focus on provenance, authenticity, and sustainability. Buyers are increasingly seeking transparency regarding the origin and history of artworks, prompting market players to invest in advanced tracking technologies and rigorous authentication processes. This emphasis on due diligence is critical in maintaining market integrity and addressing concerns related to forgery, illicit trade, and ethical sourcing. Furthermore, there is a rising awareness of the environmental impact of art production and transportation, driving demand for sustainable materials and practices. These evolving consumer expectations are compelling galleries, auction houses, and artists to adopt more responsible and transparent business models, which in turn are enhancing the overall credibility and appeal of the fine art market.
From a regional perspective, North America continues to dominate the fine art market, accounting for the largest share of global sales, followed closely by Europe. The Asia Pacific region, however, is emerging as a dynamic growth engine, driven by increasing wealth, cultural investments, and a growing number of art fairs and exhibitions. China, in particular, has established itself as a major hub for both contemporary and traditional art, attracting international attention and investment. Meanwhile, markets in Latin America, the Middle East, and Africa are gradually gaining prominence, supported by supportive government policies, rising cultural tourism, and the establishment of world-class museums and galleries. This regional diversification is contributing to the resilience and vibrancy of the global fine art market, ensuring sustained growth in the years ahead.
The Annual Arts in Schools Report includes data about arts teachers, arts budgeting, space for the arts, partnerships with arts and cultural organizations and parent involvement for elementary, middle and high schools. These reports help school administrators, parents and students understand how their schools are progressing towards offering universal arts education to all students.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Total Revenue for Arts, Entertainment, and Recreation, Establishments Subject to Federal Income Tax (REV71TMSA) from Q1 2009 to Q1 2025 about arts, entertainment, recreation, revenue, establishments, tax, federal, income, and USA.
Due to the restrictions introduced because of the coronavirus (COVID-19) pandemic in Hungary, the number of art events declined by over ** percent between 2019 and 2020. As of 2023, the number of art events totaled approximately ******, still not reaching pre-pandemic levels.
By Gove Allen [source]
The Paintings Dataset is a rich and diverse collection of various paintings from different artists spanning across multiple time periods. It includes a wide range of art styles, techniques, and subjects, providing an extensive resource for art enthusiasts, historians, researchers, and anyone interested in exploring the world of visual arts.
This dataset aims to capture the essence of artistic expression through its vast array of paintings. From classical masterpieces to contemporary works, it offers a comprehensive perspective on the evolution of artistic creativity throughout history.
Each record in this dataset represents an individual painting with detailed information such as artist's name, artwork title (if applicable), genre/style classification (e.g., landscape, portrait), medium (e.g., oil on canvas), dimensions (height and width), and provenance details if available. Additionally, some records may include additional metadata like the year or era in which the artwork was created.
By providing such comprehensive data about each painting included within this dataset, it enables users to study various aspects of art history. Researchers can analyze trends across different time periods or explore specific artistic movements by filtering the dataset based on genre or style categories. Art enthusiasts can also use this dataset to discover new artists or artworks that align with their interests.
This valuable collection appeals not only to those seeking knowledge or inspiration from renowned artworks but also encourages exploration into lesser-known pieces that may have been overlooked in mainstream discourse. It fosters engagement with cultural heritage while promoting diversity and inclusivity within the realm of visual arts.
Whether you are interested in studying classical works by universally acclaimed painters like Leonardo da Vinci or exploring modern expressions by emerging contemporary artists—this Paintings Dataset has something for everyone who appreciates aesthetics and enjoys unraveling stories through brushstrokes on canvas
How to Use the Paintings Dataset
Welcome to the Paintings Dataset! This dataset is a comprehensive collection of various paintings from different artists and time periods. It contains information about the artist, title, genre, style, and medium of each painting. Whether you are an art enthusiast, researcher, or just curious about paintings, this guide will help you navigate through this dataset easily.
1. Understanding the Columns
This dataset consists of several columns that provide detailed information about each painting. Here is a brief description of each column:
- Artist: The name of the artist who created the painting.
- Title: The title or name given to the artwork by the artist.
- Genre: The artistic category or subject matter depicted in the painting.
- Style: The specific artistic style or movement associated with the painting.
- Medium: The materials and techniques used by the artist to create the artwork.
2. Exploring Artists and Their Paintings
One interesting way to use this dataset is to explore individual artists and their artworks. You can filter by a specific artist's name in order to retrieve all their paintings included in this collection.
For example: If you are interested in exploring all paintings by Leonardo da Vinci, simply filter using Leonardo da Vinci in Artist column using your preferred data analysis tool.
3. Analyzing Painting Genres
The genre column allows you to analyze different categories within this collection of paintings. You can examine popular genres or compare them across different eras.
To analyze genres: - Get unique values for Genre column. - Count frequency for each genre value. - Visualize results using bar charts or other graphical representations.
You might discover which genres were more predominant during certain periods or which artists were known for specific subjects!
4. Investigating Artistic Styles
Similar to genres, artistic styles also play an essential role in the world of painting. This dataset includes various styles like Impressionism, Cubism, Realism, etc. By analyzing the artistic styles column, you can explore trends and shifts in artistic movements.
To investigate styles: - Get unique values for Style column. - Count frequency for each style value. - Visualize results using bar charts or other graphical...