README.md

metadata

annotations_creators:
  - machine-generated
language:
  - en
  - ko
license: other
license_name: modhaus-fan-archive
task_categories:
  - image-classification
  - feature-extraction
  - image-to-text
tags:
  - kpop
  - triples
  - objekts
  - photocard
  - cosmo
  - modhaus
  - digital-collectibles
  - video-classification
size_categories:
  - 10K<n<100K
pretty_name: tripleS Objekts Archive
dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: image
      dtype: image
    - name: media_file_name
      dtype: string
    - name: frontMedia
      dtype: string
    - name: slug
      dtype: string
    - name: id
      dtype: string
    - name: artist
      dtype: string
    - name: member
      dtype: string
    - name: memberSortOrder
      dtype: int64
    - name: season
      dtype: string
    - name: class
      dtype: string
    - name: collectionNo
      dtype: string
    - name: shortCode
      dtype: string
    - name: side
      dtype: string
    - name: onOffline
      dtype: string
    - name: comoAmount
      dtype: int64
    - name: hasAudio
      dtype: bool
    - name: accentColor
      dtype: string
    - name: backgroundColor
      dtype: string
    - name: textColor
      dtype: string
    - name: description
      dtype: string
    - name: createdAt
      dtype: int64
    - name: contract
      dtype: string

tripleS Objekts Archive (HD Images, Motion MP4s & Full Metadata)

Complete digital collectible photocards (Objekts) dataset for the K-Pop girl group tripleS (Modhaus / COSMO app).

Dataset Summary

• Total Objekts: 10,983 unique digital collectibles
• Total Images: 21,298 high-resolution card scans (Front & Back)
• Total Motion & Voice Videos: 125 animated card loops & voice message MP4 clips
• Members: All 24 members (S1–S24) + Sub-units (AAA, KRE, Assemble24, etc.)
• Seasons Included: Atom01, Atom02, Binary01, Binary02, Cream01, Cream02, Divine01, Ever01
• Metadata fields: member, season, class, collectionNo, shortCode, side (front/back), frontMedia, media_file_name, hasAudio, onOffline, comoAmount, accentColor, contract, createdAt, description.

Directory Structure

├── metadata.jsonl          # Hugging Face Dataset format linking all images, media & attributes
├── all_objekts.json        # Master raw JSON containing all 10,983 objekt items
├── summary.json            # Statistical counts by member, season, and class
├── sync_checkpoint.json    # Incremental update state tracker
├── by_member/              # Subdivided JSON files per member
├── by_season/              # Subdivided JSON files per season
├── images/                 # Hierarchical HD card images (Front & Back)
└── media/                  # Hierarchical Motion & Voice MP4 video clips
    ├── Binary02/
    │   └── SeoYeon/
    │       └── binary02-seoyeon-360z.mp4
    └── ...

Quick Start / Usage

Using Python datasets

from datasets import load_dataset

# Load dataset with automatic image decoding
dataset = load_dataset("fadhilafif98/triples-objekts", split="train")

# Access sample item
first_sample = dataset[0]
print(first_sample["member"], first_sample["season"], first_sample["side"])

# Display image
image = first_sample["image"]
image.show()

Direct CDN Access (Images & Video)

• Front Image: https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/{season}/{member}/{slug}_front.png
• Motion Video (.mp4): https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/{season}/{member}/{slug}.mp4

Disclaimer & Copyright

All visual assets and trademarks belong to MODHAUS and the COSMO platform. This dataset is compiled strictly for non-commercial fan archival, educational, indexing, and computer vision research purposes.