--- license: mit task_categories: - text-generation - text2text-generation language: - en tags: - Anime - Dataset pretty_name: Anime --- # Anime Dataset ## Overview This dataset contains detailed information about various anime series, including their genre, setting, protagonist demographics, themes, and ratings. The dataset is designed to provide a diverse collection of anime, capturing different genres, settings, and protagonist characteristics. ## Dataset Details The dataset includes the following fields: - **Title**: The title of the anime. - **Genre**: The primary genre of the anime. - **Subgenres**: Additional subgenres that describe the anime. - **Setting**: The primary setting where the anime takes place. - **Protagonist_Demographics**: Demographic information about the main protagonist. - **Protagonist_Gender**: The gender of the main protagonist. - **Protagonist_Ethnicity**: The ethnicity of the main protagonist. - **Main_Studio**: The animation studio that produced the anime. - **Theme1**: Key themes explored in the anime. - **Theme2**:2nd Theme of anime. - **Number_of_Episodes**: The total number of episodes in the series. - **Rating**: The average rating of the anime. ## Sample Data Below is a snippet of the dataset to give you an idea of its structure: ```csv Title,Genre,Subgenres,Setting,Protagonist_Demographics,Protagonist_Gender,Protagonist_Ethnicity,Main_Studio,Theme1,Theme2,Number_of_Episodes,Rating Hakugei: Legend of Moby Dick,Adventure,Sci-Fi,Space,Adult,Male,Multi-Ethnic,Madhouse,Whaling,Space,26,7.1 Casshern Sins,Action,Sci-Fi,Post-Apocalyptic,Adult,Male,Fictional,Madhouse,Robots,Survival,24,7.9 Shigurui: Death Frenzy,Action,Historical,Edo Period Japan,Adult,Male,Japanese,Madhouse,Swords,Brutality,12,7.6 Kaiba,Sci-Fi,Romance,Futuristic,Adult,Male,Fictional,Madhouse,Identity,Memory,12,8.1 Rainbow: Nisha Rokubou no Shichinin,Drama,Action,Post-WWII Japan,Teen,Male,Japanese,Madhouse,Friendship,Survival,26,8.2 ``` ## Usage **This dataset can be used for various purposes, including but not limited to:** **Data Analysis:** Analyzing trends and patterns in anime genres, themes, and ratings. **Machine Learning:** Training models to predict anime ratings or recommend similar shows. **Research:** Studying the representation of different demographics and themes in anime. **Entertainment:** Discovering new anime to watch based on various attributes. ## Contributing **If you have suggestions or improvements for this dataset, feel free to contribute by opening an issue or submitting a pull request.**