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metadata
license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - writing
pretty_name: PlotStructureClassification
size_categories:
  - n<1K

Dataset Card for PlotStructureClassification

PlotStructureClassification is a dataset designed for text classification tasks, where the objective is to classify narrative descriptions into well-known plot structures (e.g., "The Hero's Journey," "Three-Act Structure"). Each entry contains a label (the plot structure) and a corresponding description of the structure. This dataset is curated to support models in understanding and categorizing narrative frameworks often used in literature and film.

Dataset Details

Dataset Description

This dataset contains manually curated plot structure descriptions. Each entry includes a narrative label (e.g., "The Hero's Journey") and a brief explanation of the plot structure. The dataset aims to train models to classify narrative descriptions into their appropriate plot structure categories.

  • Curated by: Robert McNarland, McNarland Software Consultants
  • Funded by [optional]: None
  • Shared by [optional]: None
  • Language(s) (NLP): English
  • License: MIT

Dataset Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

This dataset can be used to:

  • Train text classification models to identify plot structures based on descriptions.
  • Support research on narrative structures and the automatic detection of plot frameworks.
  • Enhance models designed for content creation, storytelling, or creative writing by recognizing core narrative patterns.

Out-of-Scope Use

The dataset is not suitable for tasks unrelated to narrative or storytelling. It should not be used for tasks such as numerical prediction or classification unrelated to plot structure.

Dataset Structure

Each instance in the dataset includes:

label: The name of the plot structure (e.g., "The Hero's Journey"). text: A description of the plot structure. Example:

{
  "label": "The Hero's Journey (Monomyth)",
  "text": "A narrative arc where a hero ventures forth, faces trials, and returns transformed, often used in mythological stories."
}

Data Fields

  • label (string): The plot structure label.
  • text (string): A description of the plot structure.

Data Splits

  • Train: 70%
  • Validation: 15%
  • Test: 15%

Dataset Creation

Curation Rationale

This dataset was created to assist in the development of models capable of classifying and understanding narrative structures. By focusing on well-known plot frameworks, the dataset supports research into storytelling techniques and narrative comprehension.

Source Data

Data Collection and Processing

The dataset was manually curated by summarizing well-known plot structures from books, films, and storytelling guides. Each entry was carefully reviewed to ensure consistency and accuracy.

Who are the source data producers?

The source data was drawn from storytelling and narrative studies, film analysis, and literary guides. The dataset was curated to focus on well-known structures that appear in a variety of media.

Annotations [optional]

Annotation process

The dataset was manually annotated, ensuring that the labels and descriptions aligned with well-defined narrative structures.

Who are the annotators?

Annotations were performed by individuals with experience in narrative analysis and storytelling frameworks.

Personal and Sensitive Information

This dataset does not contain any personal or sensitive information, as it focuses entirely on narrative structures from public sources.

Bias, Risks, and Limitations

Recommendations

Users should be aware of potential biases in the types of narrative structures included. The dataset focuses on traditional Western storytelling frameworks, which may limit its applicability to non-Western or experimental storytelling techniques.

Citation [optional]

BibTeX:

@dataset{mcnarland2024plotstructure,
  title={PlotStructureClassification},
  author={Robert McNarland, McNarland Software Consultants},
  year={2024},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/datasets/R3troR0b/PlotStructureClassification}},
  license={MIT}
}

APA:

[More Information Needed]

Glossary [optional]

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More Information [optional]

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Dataset Card Authors [optional]

Robert McNarland, McNarland Software Consultants

Dataset Card Contact

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