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Global Film Awards Database
NLP / Natural Language Processing
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Free
About
This dataset provides a detailed record of The Academy Awards, popularly known as the Oscars, covering winners and nominees from 1927 to 2025. The Oscars are renowned awards for artistic and technical excellence within the film industry, presented annually by the Academy of Motion Picture Arts and Sciences (AMPAS). This collection offers insights into cinematic achievements globally, as assessed by the Academy's voting members. Each award recipient is presented with a golden statuette, officially termed the "Academy Award of Merit."
Columns
- Ceremony: An ordinal number indicating which specific Academy Awards ceremony the nomination pertains to, starting from 1.
- Year: The year or years from which the honoured films originate.
- Class: A custom, broad grouping used for various categories.
- CanonicalCategory: The standardised name of the award category, ensuring consistency across different years.
- Category: The exact name of the category as it appeared on official Oscar.org nominations.
- NomId: A unique identifier for each nomination.
- Film: The title of the nominated film (optional).
- FilmId: A unique string representing the IMDb Title ID for the film.
- Name: The precise text used to identify the nominated individual or entity.
- Nominees: A comma-separated list of the names of those nominated, without additional descriptive text.
- NomineeIds: Unique strings (or question marks) representing the IMDb Name ID, separated by commas.
- Winner: A boolean value,
Trueif the individual or film won the award. - Detail: Additional details about the nomination, such as a character name or song title.
- Note: Any further information provided about the specific award or nomination.
- Citation: The official text of the award statement, typically used for Scientific/Technical/Honorary awards.
- MultifilmNomination: Indicates if a single nomination was spread over multiple rows, which occurred for certain early ceremonies (Ceremonies 1, 2, 3, and 8) where individuals were nominated for several films.
Distribution
The dataset is typically provided in CSV format. The
full_data.csv file is 2.34 MB in size and contains the full data with additional columns and parsing. A separate file, the_oscar_award.csv, offers a view of the data consistent with previous iterations of this dataset. The primary data tables contain approximately 12,000 valid records for core columns like Ceremony, Year, and Category, although some other columns may have fewer entries due to missing values.Usage
This dataset is ideal for various analytical and research purposes, including:
- Investigating whether the Academy Awards reflect the diversity of American films, particularly in relation to discussions such as #OscarsSoWhite.
- Identifying actors or actresses who have received the most awards overall or within a single year.
- Determining which films have garnered the most awards during a specific ceremony.
- Analysing which countries have received the highest number of awards at a ceremony or across all years.
- Developing predictive models for future Oscar winners.
Coverage
The dataset spans a significant time range, covering Academy Award nominations and wins from 1927 to 2025. While the awards are an international recognition, the dataset allows for analysis of their impact and representation within American cinema. It can be used to explore demographic scope through analyses related to diversity questions.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for a wide range of users, including:
- Data analysts and scientists: For exploring trends, patterns, and statistical relationships within historical film award data.
- Film historians and enthusiasts: To research cinematic history, examine award legacies, and track industry developments.
- Researchers: For academic studies on diversity in film, cultural impact of awards, or predictive analytics.
- Students: As a practical resource for learning data analysis, visualisation, and machine learning techniques.
Dataset Name Suggestions
- Oscar Awards History
- Academy Awards Data (1927-2025)
- Global Film Awards Database
- AMPAS Nominees & Winners
- Cinematic Excellence Records
Attributes
Original Data Source:Global Film Awards Database
QUALITY