Baselight

Erotiquant-XL

Enhanced erotica dataset with longer context samples

@kaggle.thedevastator_openerotica_erotiquant_xl

Loading...
Loading...

About this Dataset

Erotiquant-XL


openerotica/erotiquant-xl

Enhanced erotica dataset with longer context samples

By openerotica (From Huggingface) [source]


About this dataset

Containing an extensive array of captivating narratives, this dataset has been specifically curated with a minimum context size requirement of 8000 characters for each sample. These carefully selected longer context samples provide readers with an immersive experience that allows for in-depth analysis and exploration into various themes within the realm of adult literature.

With its training purposes in mind, the train.csv file within this dataset offers further expanded and enhanced erotica texts. This enables researchers to leverage these enriched materials for various research studies or creative endeavors involving adult-oriented content.

How to use the dataset

  • Understanding the Dataset:

    • The main column of this dataset is labeled as text and contains longer context samples of erotica texts.
    • Each sample is a part of an expanded and enhanced collection specifically designed for training purposes in the field of erotica literature analysis.
    • The primary focus of this dataset is on providing researchers and interested individuals with an extensive range of text samples from the erotica genre.
  • Dataset Description:

    • To gain a comprehensive understanding of this dataset, consider referring to the provided train.csv file.
    • In train.csv, you will find further detailed information about each sample, including its expansion level and enhancement details.
  • Target Audience:

    • Researchers and individuals studying or analyzing erotica literature will find this dataset particularly valuable for their projects or investigations.
  • Dataset Applications:

    • Analyzing Language Patterns: Utilize this dataset to study linguistic patterns within erotic literature while exploring topics such as vocabulary usage, sentence structure, grammar, etc.
  • Preprocessing Considerations:
    When working with this dataset, it's important to keep in mind that it contains explicit content that may be sensitive or inappropriate for certain audiences. Therefore, it is strongly recommended that users take appropriate measures such as anonymity protection when working with these data.

  • Ethical Considerations:
    Given that these texts fall under adult content categories (such as erotica), it becomes essential for researchers to approach their studies responsibly by ensuring they adhere strictly to applicable code ethics.

  • Respect Privacy & Consent:
    Creators must respect privacy rules entailed within the dataset and must not use this information in any way that violates privacy or consent guidelines. Avoid disclosing personally identifiable information.

  • Attribution:

  • Collaborative Sharing:
    Promote data sharing and collaboration by providing feedback, submitting improvements, or contributing annotations back to the Kaggle community.

  • Responsible Usage:
    Use these materials solely for lawful purposes, ensuring compliance with all applicable laws and regulations governing your research activities.

By applying these guidelines, researchers can effectively explore and

Research Ideas

  • Analyzing patterns and themes in erotica literature: Researchers can use this dataset to analyze the content, structure, and language used in erotica texts. They can uncover recurring motifs, common plotlines, and explore the representation of various sexual themes.
  • Developing algorithms for automated content analysis: This dataset can be used to train machine learning models to automatically classify and analyze erotica texts. By training algorithms on this dataset, researchers can develop tools that automatically identify explicit or adult content in digital platforms or assist in categorizing literary genres.
  • Understanding cultural and societal attitudes towards sexuality: Examining the narratives and contexts provided in this dataset can shed light on how different cultures or societies perceive and discuss sexuality. Researchers studying sociology or cultural studies can explore how erotic literature reflects societal norms, values, and taboo subjects across different time periods or geographical locations

Acknowledgements

If you use this dataset in your research, please credit the original authors.

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Column name Description
text Longer context samples extracted from various sources within erotica literature. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit openerotica (From Huggingface).

Tables

Train

@kaggle.thedevastator_openerotica_erotiquant_xl.train
  • 95.36 MB
  • 3876 rows
  • 3 columns
Loading...

CREATE TABLE train (
  "unnamed_0" VARCHAR,
  "ex" VARCHAR,
  "unnamed_2" VARCHAR
);

Share link

Anyone who has the link will be able to view this.