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Academy Awards, also known as Oscars, are awarded every year to artists and technicians in the American and international film industry by the Academy of Motion Picture Arts and Sciences. The winners are selected out of nominees selected by the members of the academy on the basis of their votes. The award was first presented for the year 1927-28. The awards are given across over 24 categories. This dataset contains details of nominations and winners, along with the movie for which they were nominated/won since the introduction of the Oscar awards.
In 2025, men almost accounted for the majority of the nominees for all major non-acting categories at the Academy Awards. All contenders in the Cinematography category were male. The category with the highest level of female participation that year was Documentary (short subject).
The fourth and final quarterly data for the financial year 2022-23. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR II is a cross-government project to replace the first OSCAR and Combined Online Information System (COINS) public spending databases. It provides us with key management information and data for public reporting.
Three-quarters of the movies that won an Academy Award in 2020 had a male lead actor. In 2013, the share stood at 50 percent. Nearly 68 percent of film writers in the U.S. were white in 2021.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution. OSCAR is generated by Earth Space Research (ESR) https://www.esr.org/research/oscar/oscar-surface-currents/. This collection contains data in 5-day files. For yearly files, see https://doi.org/10.5067/OSCAR-03D1Y
In 2025, around **** million Americans watched the Academy Awards ceremony. Oscars viewership fluctuates year by year, however, the last time the ceremony drew in a U.S. audience of more than ** million was back in 2014. The figure recorded in 2021 was the lowest yet, and marked a drop-off of over ** percent from the 2020 audience. Coverage of the Academy Awards Viewership of awards ceremonies can depend on multiple factors, ranging from personal preferences to overall interest in nominees, as well as how much coverage is devoted to the ceremony before and during its broadcast. Interest in upcoming events in the media industry is often generated via social media, which can be extremely effective in generating discussions, interactions, and general awareness. In 2018, the Academy Awards were mentioned *** million times on social media during the ceremony, and have also proved to be some of the most popular TV specials on Twitter in recent years. Conversely, a survey held in early 2019 revealed that ** percent of U.S. adults had not come across any news coverage for the 2019 Academy Awards at all.
Out of all the major movie awards leading to the Academy Awards, the Producers Guild of America (PGA) held the highest success rate at predicting the Best Picture winner over the past 20 years, with a total of 70 percent. As of 2025, Oscar Best Picture frontrunner "Anora" was crowned Best Picture award at the PGAs.
About a quarter of American moviegoers agreed that the Academy Awards had a diversity problem and that the nominees were not diverse enough in terms of race, gender and nationality in 2025. On the contrary, less than 35 percent disagreed and thought that the Oscars were diverse enough.
The first quarterly data for the financial year 2024-25. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
This annual set of raw data released from the OSCAR II reporting system covers outturn for financial years 2019-20 to 2023-24 and in-year data for financial years 2023-24. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more transparent.
OSCAR II is a cross-government financial consolidation system that replaced the COINS public spending database. It’s a user-friendly system that provides us with key management information and data for public reporting. Please note that due to the increased level of detail contained in the OSCAR II system, it is not backwards-compatible with previous COINS releases.
The third set of quarterly data for the financial year 2018-2019. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR is a cross government public spending database. It’s a user-friendly system that provides us with key management information and data for public reporting.
皇冠体育app third set of quarterly data for the financial year 2018-2019. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR is a cross government public spending database. It鈥檚 a user-friendly system that provides us with key management information and data for public reporting.
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Community OSCAR
The OSCAR project (Open Super-large Crawled Aggregated coRpus) is an Open Source project aiming to provide web-based multilingual resources and datasets for Machine Learning (ML) and Artificial Intelligence (AI) applications. The project focuses specifically in providing large quantities of unannotated raw data that is commonly used in the pre-training of large deep learning models. The OSCAR project has developed high-performance data pipelines specifically… See the full description on the dataset page: https://huggingface.co/datasets/oscar-corpus/community-oscar.
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Dataset Summary
Various subsets of the English OSCAR with different numbers of tokens measured with the GPT2Tokenizer. This data is used in the paper Scaling Data-Constrained Language Models. Please refer to our GitHub repository for more details. @article{muennighoff2023scaling, title={Scaling Data-Constrained Language Models}, author={Muennighoff, Niklas and Rush, Alexander M and Barak, Boaz and Scao, Teven Le and Piktus, Aleksandra and Tazi, Nouamane and Pyysalo, Sampo and… See the full description on the dataset page: https://huggingface.co/datasets/datablations/oscar-subsets.
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The Academy Awards, also officially and popularly known as the Oscars, are awards for artistic and technical merit in the film industry. Given annually by the Academy of Motion Picture Arts and Sciences (AMPAS), the awards are an international recognition of excellence in cinematic achievements as assessed by the Academy's voting membership. The various category winners are awarded a copy of a golden statuette, officially called the "Academy Award of Merit", although more commonly referred to by its nickname "Oscar". The statuette depicts a knight rendered in Art Deco style.
This file contains a scrape of The Academy Awards Database, recorded of past Academy Award winners and nominees between 1927 and 2025.
the_oscar_award.csv
contains a view of the data consistent with past views of this Kaggle dataset.
full_data.csv
contains the full data, with additional columns and parsing, imported from github
The awards data was scraped from the Official Academy Awards search site; nominees were listed with their name first and film following in some categories, such as Best Actor/Actress, and in the reverse for others.
Thank you @lopcio for the amazing helpful on fix this dataset missing values through the updates.
Sean Baker's "Anora" held the highest winning chance at being crowned Best Picture at the 97th ceremony of the Academy Awards, based on predictions suggested by a mathematical model. At 52 percent of winning chance, it stood ahead of "Conclave", which scored about 15 percent chance of taking home the Best Picture prize.
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution. OSCAR is generated by Earth Space Research (ESR) https://www.esr.org/research/oscar/oscar-surface-currents/
Citation: ESR. 2009. OSCAR third degree resolution ocean surface currents. Ver. 1. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/OSCAR-03D01.
Journal Reference Bonjean, F., and G. S. E. Lagerloef, 2002. Diagnostic model and analysis of the surface currents in the tropical Pacific Ocean. J. Phys. Oceanogr., vol. 32, pg. 2938-2954.
Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day. OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/. More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.
In 2025, "I'm Still Here" won the International Feature Film category at the Academy Awards, marking Brazil's first victory. Italy and France, however, top the ranking of this category with 11 and nine wins, respectively. Spain and Denmark tie in third place, each with four Oscars for International Feature Film.
皇冠体育app fourth set of quarterly data for the financial year 2016-2017. This dataset, in addition to the previous OSCAR and COINS releases, makes public spending data more accessible.
OSCAR is a cross government public spending database. It鈥檚 a user-friendly system that provides us with key management information and data for public reporting.
https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions
Academy Awards, also known as Oscars, are awarded every year to artists and technicians in the American and international film industry by the Academy of Motion Picture Arts and Sciences. The winners are selected out of nominees selected by the members of the academy on the basis of their votes. The award was first presented for the year 1927-28. The awards are given across over 24 categories. This dataset contains details of nominations and winners, along with the movie for which they were nominated/won since the introduction of the Oscar awards.