deepghs/sankaku_tags_categorize_for_WD14Tagger

Sankaku Tags Categorize for WD14Tagger

Summary

This dataset provides a comprehensive tag categorization system specifically designed for enhancing the WD14Tagger model with Sankaku Complex metadata. The dataset contains 10,861 meticulously classified tags from the Sankaku Complex platform, organized into distinct categories to improve tag-based image classification and generation tasks. Each tag entry includes the original Sankaku tag ID, tag name, assigned category, and usage count, enabling fine-grained control over tag processing in image recognition pipelines.

The categorical organization follows a structured approach where tags are grouped into meaningful classes that align with common image annotation requirements. This classification system allows for more intelligent tag filtering, prioritization, and processing in automated image tagging systems. The dataset serves as a bridge between Sankaku Complex's extensive tag ecosystem and the WD14Tagger framework, providing standardized category mappings that enhance model performance and interpretability.

With detailed metadata including usage frequency statistics, this dataset supports both training and inference phases of image tagging models. The category assignments enable selective tag processing based on semantic relevance, reducing noise and improving the quality of generated tags. This is particularly valuable for content creators and researchers working with anime-style artwork who require precise and organized tag management for their image datasets.

The dataset's structure facilitates seamless integration with existing WD14Tagger workflows while adding the rich tag taxonomy of Sankaku Complex. By providing category-level organization alongside individual tag data, this resource enables more sophisticated tag-based image retrieval, classification, and generation applications in the computer vision domain. Keywords: tag-categorization, image-annotation, metadata-enhancement, WD14Tagger, Sankaku-Complex

Dataset Structure

The dataset consists of a single CSV file with the following schema:

• tag_id: Unique identifier from Sankaku Complex
• name: The actual tag text/name
• category: Numerical category assignment (0, 3, etc.)
• count: Usage frequency count on Sankaku Complex

Sample Data

tag_id	name	category	count
478554	contrast	0	850
2075818	nike_(company)	3	1884
2068712	hugging_book	3	870
2035712	rhodes_island_logo_(arknights)	3	976
2006775	unworn_goggles	3	699

Usage

import pandas as pd

# Load the dataset
df = pd.read_csv('selected_tags_classified.csv')

# Explore the data
print(f"Total tags: {len(df)}")
print(f"Categories: {df['category'].unique()}")
print(f"Sample tags from category 0:")
print(df[df['category'] == 0].head())

# Get most frequent tags
top_tags = df.sort_values('count', ascending=False).head(10)
print("Most popular tags:")
print(top_tags[['name', 'category', 'count']])

Integration with WD14Tagger

This dataset can be used to enhance WD14Tagger by providing category-based tag filtering and organization:

# Example: Filter tags by category for specific use cases
def get_tags_by_category(df, category_ids):
    return df[df['category'].isin(category_ids)]

# Get all tags from specific categories
character_tags = get_tags_by_category(df, [3])  # Example category for character/object tags

Original Content

The dataset contains 10,861 classified tags from Sankaku Complex with the following characteristics:

• Total rows: 10,861
• File size: 326,595 bytes
• Columns: tag_id, name, category, count
• Categories represented: Multiple numerical categories (0, 3, etc.)

Citation

@misc{sankaku_tags_categorize_wd14tagger,
  title        = {Sankaku Tags Categorize for WD14Tagger},
  author       = {deepghs},
  howpublished = {\url{https://huggingface.co/datasets/deepghs/sankaku_tags_categorize_for_WD14Tagger}},
  year         = {2023},
  note         = {Comprehensive tag categorization dataset from Sankaku Complex for enhancing WD14Tagger image annotation capabilities},
  abstract     = {This dataset provides a comprehensive tag categorization system specifically designed for enhancing the WD14Tagger model with Sankaku Complex metadata. The dataset contains 10,861 meticulously classified tags from the Sankaku Complex platform, organized into distinct categories to improve tag-based image classification and generation tasks. Each tag entry includes the original Sankaku tag ID, tag name, assigned category, and usage count, enabling fine-grained control over tag processing in image recognition pipelines.},
  keywords     = {tag-categorization, image-annotation, metadata-enhancement, WD14Tagger, Sankaku-Complex}
}