Datasets:
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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
```text
├── 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`
```python
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.
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