emanuelevivoli/comix_v0_tiny_books

Comic Books Tiny Dataset v0 - Books (Testing)

Small test dataset of book-level metadata for rapid development and testing.

⚠️ This is a TINY dataset for testing only. For production, use comix_v0_books.

What's Included

Each book has:

• {book_id}.json - Book metadata with page references

Purpose

This dataset provides book-level metadata to group pages from comix_v0_tiny_pages.

Workflow:

1. Download comix_v0_tiny_pages (with images)
2. Download comix_v0_tiny_books (metadata only)
3. Use WebDataset pipeline to group pages by book

Quick Start

from datasets import load_dataset
import json

# Load tiny books dataset
books = load_dataset(
    "emanuelevivoli/comix_v0_tiny_books",
    split="train",
    streaming=True
)

# Iterate through books
for book in books:
    book_data = json.loads(book["json"])
    
    book_id = book_data["book_id"]
    total_pages = book_data["book_metadata"]["total_pages"]
    
    # Get page references
    for page_ref in book_data["pages"]:
        page_id = page_ref["page_id"]
        dataset = page_ref["dataset"]  # "comix_v0_tiny_pages"
        tar_file = page_ref["tar_file"]
        files = page_ref["files"]  # json, jpg, seg.npz (if available)
    
    print(f"Book {book_id}: {total_pages} pages")

Dataset Structure

Book JSON Schema (v0)

{
  "book_id": "c00004",
  "split": "train",
  "book_metadata": {
    "series_title": null,
    "issue_number": null,
    "publication_date": null,
    "publisher": null,
    "total_pages": 68,
    "license_status": "Public Domain",
    "digital_source": "Digital Comic Museum"
  },
  "pages": [
    {
      "page_number": 0,
      "page_id": "c00004_p000",
      "dataset": "comix_v0_tiny_pages",
      "tar_file": "comix-v0-tiny-pages-00000.tar",
      "files": {
        "json": "c00004_p000.json",
        "jpg": "c00004_p000.jpg",
        "seg.npz": "c00004_p000.seg.npz"
      }
    },
    ...
  ],
  "segments": [],     // v1: story segments (to be added)
  "characters": []    // v1: character bank (to be added)
}

Data Splits

Split	Books
Train	Unknown
Validation	Unknown
Test	Unknown
Total	Unknown

Use Cases

✅ Testing: Rapid iteration on book-level structure ✅ Development: Quick validation of page grouping ✅ Debugging: Small dataset for troubleshooting ✅ Prototyping: Fast experimentation

❌ NOT for: Training production models

Version 0 (Primordial)

This is a primordial v0 with:

• ✅ Basic structure
• ✅ Page references
• ⏳ Empty book_metadata fields (to be populated in v1)
• ⏳ Empty segments (to be added in v1)
• ⏳ Empty characters (to be added in v1)

Future (v1+) will include:

• Bibliographic information (series, issue, publisher)
• Story segments with summaries
• Character banks with appearances

Companion Dataset

comix_v0_tiny_pages: Individual pages with images

Full Dataset

For production use: comix_v0_books (~19K books)

Example: Group Pages by Book

# Load both datasets
pages = load_dataset("emanuelevivoli/comix_v0_tiny_pages", split="train")
books = load_dataset("emanuelevivoli/comix_v0_tiny_books", split="train")

# Create page index
page_index = {p["json"]["page_id"]: p for p in pages}

# Get a book and its pages
book = books[0]
book_data = json.loads(book["json"])

book_pages = []
for page_ref in book_data['pages']:
    page_id = page_ref['page_id']
    if page_id in page_index:
        book_pages.append(page_index[page_id])

print(f"Book {book_data['book_id']}: {len(book_pages)} pages loaded")

Citation

@dataset{comix_v0_tiny_books_2025,
  title={Comic Books Tiny Dataset v0 - Books},
  author={Emanuele Vivoli},
  year={2025},
  publisher={Hugging Face},
  note={Testing dataset - metadata only},
  url={https://huggingface.co/datasets/emanuelevivoli/comix_v0_tiny_books}
}

License

Public Domain (CC0-1.0) - Digital Comic Museum

Updates

• v0 (2025-11-18): Initial release
  • Unknown books
  • Primordial version with placeholder fields
  • For testing only