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Castro Video Metrics Dataset
Data Science and Analytics
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Free
About
This dataset aims to preserve the digital legacy of Ernesto Castro, a notable millennial philosopher from Spain. It features content from his YouTube channel, including hundreds of hours of his classes, dialogues, and conferences, after his announcement in January 2025 regarding the potential cessation of his channel. The data provides valuable insights into his philosophical discourse and audience engagement metrics.
Columns
- ID_Video: The unique identification code for each YouTube video.
- Titulo: The title given to the video.
- Descripcion: A short explanation or summary of the video's content.
- Canal: The name of the YouTube channel that uploaded the video.
- FechaSubida: The specific calendar date when the video was uploaded.
- URL: The direct web address (link) to the YouTube video.
- Duracion: The length of the video, expressed in seconds.
- Vistas: The total number of times the video has been viewed.
- Likes: The count of positive reactions ('likes') the video has received.
- Dislikes: The count of negative reactions ('dislikes') the video has received.
- Comentarios: The numerical total of comments posted on the video.
- QComentarios: (Likely representing Quantity of Comments) Another metric related to user comments on the video.
- Transcripcion: The written transcript of the video's spoken content.
- Usos: Information or notes pertaining to the usage or pre-processing of the video's data.
Distribution
The dataset is typically provided in a CSV (Comma Separated Values) file format. While specific numbers for rows or records are not explicitly available, the data covers various metrics such as video duration, views, likes, and dislikes. Video durations range from a minimum of 23 seconds up to a maximum of approximately 18,024 seconds (which is about 5 hours). View counts vary significantly, ranging from 595 up to over 521,000. Likes range from 0 to over 10,400, and dislikes range from 0 to over 4,200. The content originates primarily from one unique YouTube channel.
Usage
This dataset offers a foundation for several analytical applications:
- Pre-processing: Useful for cleaning data, removing special characters, and tokenising text, preparing it for subsequent analysis.
- Text Mining: Enables the analysis of keywords and the detection of prevalent themes within video descriptions and transcripts.
- Natural Language Processing (NLP): Facilitates text modelling, sentiment analysis, automatic summary generation, and the classification of content.
- Machine Learning (ML): Can be applied to predict audience engagement based on metrics such as views, likes, and dislikes, or to classify videos according to their descriptions and transcripts.
Coverage
The dataset has a global geographic scope. It includes content uploaded between 23rd April 2013 and 6th January 2025. The subject matter primarily revolves around philosophy, aesthetics, and academic discussions, with a particular emphasis on Spanish and Ibero-American thought.
License
CC0
Who Can Use It
This dataset is designed for a diverse audience, including:
- Data Scientists and Analysts: For quantitative analysis of video performance and content trends.
- Researchers and Academics: Those studying contemporary philosophy, digital culture, or media studies can explore discourse evolution.
- Linguists and NLP Developers: For building and refining models related to language processing, content understanding, and summarisation.
- Machine Learning Engineers: For training models to predict viewer interaction and categorise video content.
- Students: A valuable resource for projects and studies in areas such as digital humanities, data science, and philosophy.
Dataset Name Suggestions
- Ernesto Castro YouTube Data Archive
- Spanish Philosophy Video Analytics
- Ernesto Castro Digital Thought
- YouTube Philosophical Content
- Castro Video Metrics Dataset
Attributes
Original Data Source: Ernesto Castro Dataset (ESP)
QUALITY