language:en region:us nsfw jav
---
dataset_info:
  features:
  - name: _id
    dtype: string
  - name: code
    dtype: string
  - name: title
    dtype: string
  - name: casts
    sequence: string
  - name: categories
    sequence: string
  - name: duration
    dtype: int64
  - name: release_date
    dtype: string
  - name: director
    dtype: string
  - name: images
    sequence: string
  - name: studio
    dtype: string
  - name: poster
    dtype: string
  splits:
  - name: train
    num_bytes: 453333386
    num_examples: 317852
  download_size: 86644520
  dataset_size: 453333386
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- en
tags:
- nsfw
- jav
---
# Dataset Card for Japanese Adult Videos

This dataset card provides detailed information about the "Japanese Adult Videos" dataset. It is designed to be a comprehensive template for datasets related to adult video metadata.

## Dataset Details

### Dataset Description

- **Curated by:** Anonymous Contributors
- **Funded by [optional]:** Not applicable
- **Shared by [optional]:** Anonymous Contributors
- **Language(s) (NLP):** English, Japanese
- **License:** [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (Attribution-NonCommercial-ShareAlike)

### Dataset Sources [optional]

- **Repository:** [Hugging Face Dataset Repository](https://huggingface.co/datasets)
- **Paper [optional]:** Not applicable
- **Demo [optional]:** Not applicable

## Uses

### Direct Use

This dataset is intended for research purposes in the following areas:
- Content recommendation systems
- Natural Language Processing (NLP) tasks such as text classification and sentiment analysis
- Metadata analysis for media studies

### Out-of-Scope Use

The dataset should not be used for:
- Any illegal or unethical activities
- Training models that promote harmful stereotypes or biases
- Commercial purposes without proper licensing

## Dataset Structure

### Fields Description

- `_id`: Unique identifier for each movie entry.
- `code`: The unique code associated with the movie.
- `title`: The title of the movie.
- `casts`: A list of cast names involved in the movie.
- `categories`: A list of categories/tags describing the content of the movie.
- `duration`: Duration of the movie in minutes.
- `release_date`: Release date of the movie in ISO 8601 format.
- `director`: Name of the director.
- `images`: A list of image URLs related to the movie.
- `studio`: Name of the production studio.
- `poster`: URL of the movie poster image.

### Splits

- **Train Split**: Contains 317,852 examples with a total size of 453 MB.

## Dataset Creation

### Curation Rationale

The dataset was created to facilitate research in multimedia metadata analysis, recommendation systems, and NLP tasks related to adult video content.

### Source Data

#### Data Collection and Processing

- **Data Collection**: Metadata was scraped from publicly available sources.
- **Processing**: The data was cleaned, normalized, and enriched with additional fields such as cast names.
- **Tools Used**: Python (`pandas`, `pymongo`, `datasets`), MongoDB Atlas.

#### Who are the source data producers?

The original data producers include:
- Production studios
- Directors
- Cast members
- Metadata providers

### Annotations [optional]

No additional annotations were added to the dataset.

#### Personal and Sensitive Information

The dataset contains metadata that may indirectly reference individuals (e.g., cast names). Efforts were made to anonymize sensitive information where possible.

## Bias, Risks, and Limitations

### Known Biases

- The dataset reflects biases present in the source material, such as gender and cultural stereotypes.
- Limited diversity in certain categories (e.g., genres, studios).

### Risks

- Potential misuse for unethical purposes.
- Reinforcement of harmful stereotypes if used improperly.

### Recommendations

Users are encouraged to:
- Use the dataset responsibly and ethically.
- Be aware of potential biases and limitations.
- Avoid using the dataset for commercial or harmful purposes.

## Citation [optional]

If you use this dataset in your research, please cite it as follows:

**BibTeX:**
```bibtex
@misc{jav_dataset,
  author = {Anonymous Contributors},
  title = {Japanese Adult Videos Dataset},
  year = {2025},
  publisher = {Hugging Face},
  journal = {Hugging Face Datasets},
  howpublished = {\url{https://huggingface.co/datasets/knighjok/japanese-adult-videos}}
}