Hollywood Movie Summaries from Black List and Personas Corpus

Encompassing text summaries of Hollywood movies, manually curated from The Black List website and the CMU Movie Summary Corpus. It comprises between 1,000 and 10,000 entries, as indicated by its size category tag. The data is intended for natural language processing tasks involving narrative text.

Use Cases

• Analyze narrative structures and plot elements within the text summaries.
• Train a text generation model to produce movie summaries based on the provided examples.
• Perform topic modeling on the summary text to identify common themes in Hollywood films.
• Use the text data for semantic similarity tasks, such as finding movies with comparable plot summaries.

Strengths

• Data is manually curated from two specific sources, The Black List and the CMU Movie Summary Corpus.
• The size category tag indicates the dataset contains between 1,000 and 10,000 text entries.
• The dataset is tagged as text modality, confirming its primary content type.

Limitations

• The exact number of rows, columns, and file formats are unknown.
• The dataset's geographic coverage is implied to be US-centric ('Regionus' tag), limiting global applicability.
• The last update was in May 2022, making the data potentially stale for recent movie analysis.

Provenance

Source

The Black List (blcklst.com) and the CMU Movie Summary Corpus (http://cs.cmu.edu/~ark/personas/).

Collection Method

Hand-picked and curated by the author.

Freshness

Last updated on 2022-05-08.

Geography

United States (inferred from 'Regionus' tag).