metadata

dataset_info:
  features:
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 321487120.26339495
      num_examples: 10557
    - name: test
      num_bytes: 3045250.736605048
      num_examples: 100
  download_size: 199546740
  dataset_size: 324532371
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
license: mit
task_categories:
  - text-generation
language:
  - zh
tags:
  - Erotic-literature
size_categories:
  - 10M<n<100M

Dataset Card for Erotic Literature in Chinese

Dataset Summary

This dataset is a collection of erotic literature in Chinese, compiled for the purpose of text generation tasks. It is divided into two splits: a training set and a test set, allowing for model training and evaluation. The dataset is of moderate size, suitable for projects working on text-based AI models, particularly focusing on the genre of erotic literature.

Dataset Details

Language: Chinese (zh)
License: MIT
Task Category: Text Generation
Tags: Erotic-literature
Size Category: 10M<n<100M

Dataset Configuration

Configuration Name: Default
- The dataset consists of multiple parts for each split.
- Data Files:
  - Training files: data/train-*
  - Test files: data/test-*

Dataset Size

Download Size: Approximately 199.5 MB
Dataset Size: Approximately 324.5 MB

Splits

Train Split:
- Number of Examples: 10,557
- Total Bytes: ~321.49 MB
Test Split:
- Number of Examples: 100
- Total Bytes: ~3.05 MB

Usage

Given its nature, this dataset is designed for creating and tuning AI models with capabilities in generating or understanding erotic literature in Chinese. It can be utilized for research in machine learning, natural language processing, and AI applications that require large, themed text datasets.

Considerations

Ethical Considerations: Users should be aware of the ethical implications and societal impact of working with adult content. It is important to ensure this dataset is used responsibly and complies with relevant laws and regulations.
Limitations: Be conscious of biases that can arise from the nature of the text. Models trained on such data may need additional tuning or filtering to be applicable to broader or alternative applications.

How to Access

The dataset can be accessed via downloading the files described in the configuration section. Ensure to comply with the MIT license terms when using this dataset in applications or research.

from datasets import load_dataset

ds = load_dataset("XuehangCang/Erotic-literature")
print(ds)

"""
DatasetDict({
    train: Dataset({
        features: ['text'],
        num_rows: 10557
    })
    test: Dataset({
        features: ['text'],
        num_rows: 100
    })
})
"""

For further details or questions about this dataset, users should refer to the relevant sections of the providing platform or contact repository maintainers.

@misc {xuehangcang_2025,
    author       = { {XuehangCang} },
    title        = { Erotic-literature (Revision ce90a31) },
    year         = 2025,
    url          = { https://huggingface.co./datasets/XuehangCang/Erotic-literature },
    doi          = { 10.57967/hf/4208 },
    publisher    = { Hugging Face }
}