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Cinematic Transformation Data
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About
The Netflix Life Impact Dataset (NLID) is a carefully assembled collection of over 80 transformative films, designed to explore how cinematic experiences create lasting emotional, intellectual, and behavioural impressions on audiences. It goes beyond typical movie analytics by highlighting the human impact of storytelling, demonstrating how specific scenes can spark introspection, alter perspectives, or motivate action. This dataset bridges cinema studies, psychology, and data science, making it a valuable resource for understanding art's influence on human behaviour. It addresses a gap in existing movie datasets that often overlook the profound resonance and unforgettable qualities of certain stories. The dataset aims to capture those universal yet deeply personal moments that act as catalysts for change. Data was gathered and verified through streaming platforms, audience feedback from various review sites, and critical analyses, with a particular focus on identifying "life-changing minutes" and the meaningful advice derived from them. It blends quantitative metrics with qualitative depth, offering a unique perspective on film's impact.
Columns
- Movie Title: The official title of the film.
- Genre: The primary and secondary genres of the film, for example, "Drama" or "Thriller/Drama".
- Release Year: The year the movie was released.
- Average Rating: The aggregate audience rating for the film on a 10-point scale.
- Number of Reviews: The total number of audience reviews gathered for the film.
- Review Highlights: Curated snippets from top reviews, presenting contrasting praise and criticism.
- Minute of Life-Changing Insight: The exact timestamp (HH:MM:SS) and context of the pivotal scene that resonated most with viewers.
- How Discovered: Information on how viewers found the film, such as "Friend suggested", "Netflix recommendation", or "Social media".
- Meaningful Advice Taken: The core life lesson or takeaway that viewers derived from the film.
- Suggested to Friends/Family (Y/N %): The percentage of viewers who recommended the film’s lesson to others.
Distribution
The dataset is provided in a CSV file format, specifically named
Netflix Life Impact Dataset (NLID).csv, which is approximately 14.28 kB in size. It comprises 82 unique records across 10 distinct columns. The expected update frequency for this dataset is never.Usage
This dataset is ideal for a variety of applications, including:
- Storytelling Analysis: Identifying which genres (such as documentaries) or themes (like resilience or systemic injustice) most profoundly influence audiences.
- Personalised Recommendations: Developing systems that suggest films based on specific life lessons, for example, offering motivational content related to "Persistence pays off".
- Cultural Psychology: Studying how societal issues, such as class inequality, shape collective emotional responses to cinematic works.
- Content Creation: Guiding filmmakers in crafting impactful scenes by analysing patterns in "life-changing" timestamps.
- Training AI to forecast cultural trends, studying the psychology of art, or discovering films that challenge one's worldview.
Coverage
The dataset includes films released between 2006 and 2021. The selection draws from major streaming platforms, including Netflix, Amazon Prime, and Hulu, with audience feedback sourced from IMDb, Reddit, and Letterboxd. This indicates a broad, global reach in terms of the audience reviews and cultural insights captured.
License
Creative Commons Attribution 4.0 International (CC BY 4.0)
Who Can Use It
The dataset is intended for a diverse group of users, including:
- Data Scientists: For advanced analytics, AI training, and cultural trend prediction.
- Psychologists: To study the psychology of art and human behavioural responses to cinematic narratives.
- Filmmakers: For insights into crafting impactful scenes and understanding audience engagement.
- Educators: For teaching film studies, media psychology, or data science applications.
- Individuals interested in how films can shape perspectives and inspire personal transformation.
Dataset Name Suggestions
- Cinematic Transformation Data
- Film Impact Insights
- Movie Revelation Dataset
- Emotional Cinema Journey
- Storytelling Resonance Data
Attributes
Original Data Source: Cinematic Transformation Data
QUALITY