| # Panduan Penggunaan, CDN & Update Dataset tripleS Objekts |
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| Repository Hugging Face: **[fadhilafif98/triples-objekts](https://huggingface.co/datasets/fadhilafif98/triples-objekts)** |
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| --- |
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| ## 📌 Status Terakhir Snapshot Data (Sync Checkpoint) |
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| > **Catatan:** Data di bawah ini tersimpan otomatis di file [`sync_checkpoint.json`](./sync_checkpoint.json). Ketika ada rilis kartu baru dari Modhaus/COSMO, script update akan **otomatis membandingkan dengan checkpoint ini** sehingga **tidak akan men-download ulang** kartu atau gambar yang sudah ada. |
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| | Parameter | Nilai Terakhir | |
| | :--- | :--- | |
| | **Tanggal Sync Terakhir** | `2026-08-16` | |
| | **Timestamp Data Terakhir (`latest_created_at`)** | `1786582823000` *(2026-08-13T01:00:23Z)* | |
| | **Total Objekts Terindeks** | `10,983` unik objekts | |
| | **Total Foto Photocard Ter-upload** | `21,298` file (`_front.png` & `_back.png`) | |
| | **Total Video Motion & Voice Ter-upload** | `125` file (`.mp4`) | |
| | **Daftar Season yang Sudah Masuk** | `Atom01`, `Atom02`, `Binary01`, `Binary02`, `Cream01`, `Cream02`, `Divine01`, `Ever01` | |
| | **Total Member Tercover** | 24 Member (S1–S24) + Semua Sub-unit | |
| | **File Tracker Status** | [`sync_checkpoint.json`](./sync_checkpoint.json) *(Track 10,983 slug unik)* | |
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| --- |
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| ## 1. Cara Menggunakan Dataset via Python `datasets` |
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| ### A. Load Standar |
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| ```bash |
| pip install datasets pillow |
| ``` |
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| ```python |
| from datasets import load_dataset |
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| # 1. Download & load dataset |
| dataset = load_dataset("fadhilafif98/triples-objekts", split="train") |
| print(f"Total data: {len(dataset)}") |
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| # 2. Akses item pertama |
| sample = dataset[0] |
| print("Member :", sample["member"]) |
| print("Season :", sample["season"]) |
| print("Class :", sample["class"]) |
| print("Side :", sample["side"]) |
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| # 3. Tampilkan gambar photocard |
| img = sample["image"] |
| img.show() |
| ``` |
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| --- |
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| ## 2. Cara Menggunakan Hugging Face sebagai Direct CDN (Web / App / Bot) |
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| Hugging Face menyediakan endpoint CDN global Cloudflare gratis berkecepatan tinggi. |
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| ### A. Format URL CDN Gambar (Photocard) |
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| ```text |
| https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/{season}/{member}/{slug}_{side}.png |
| ``` |
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| * **Front Image**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/Atom01/JiWoo/atom01-jiwoo-100z_front.png` |
| * **Back Image**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/Atom01/JiWoo/atom01-jiwoo-100z_back.png` |
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| --- |
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| ### B. Format URL CDN Video / Motion / Voice Objekts (MP4) |
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| ```text |
| https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/{season}/{member}/{slug}.mp4 |
| ``` |
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| * **Motion Loop**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-503z.mp4` |
| * **Voice Clip**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-360z.mp4` |
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| Contoh di HTML: |
| ```html |
| <video autoplay loop muted playsinline width="300"> |
| <source |
| src="https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-503z.mp4" |
| type="video/mp4" |
| /> |
| </video> |
| ``` |
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| --- |
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| ### C. Helper Function di JavaScript / TypeScript |
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| ```javascript |
| const HF_CDN_BASE = "https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main"; |
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| // 1. Photocard Image CDN URL |
| export function getObjektImageUrl(season, member, slug, side = 'front', ext = 'png') { |
| return `${HF_CDN_BASE}/images/${season}/${member}/${slug}_${side}.${ext}`; |
| } |
| |
| // 2. Motion Video / Voice CDN URL |
| export function getObjektVideoUrl(season, member, slug) { |
| return `${HF_CDN_BASE}/media/${season}/${member}/${slug}.mp4`; |
| } |
| ``` |
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| --- |
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| ### D. Akses Raw JSON / Metadata via CDN |
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| * **Master JSON**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/all_objekts.json` |
| * **Summary Stats**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/summary.json` |
| * **Checkpoint Tracker**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/sync_checkpoint.json` |
| * **Per-Member (e.g. JiWoo)**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/by_member/JiWoo.json` |
| * **Per-Season (e.g. Atom01)**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/by_season/Atom01.json` |
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| --- |
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| ## 3. Cara Update Data Baru di Masa Depan (Tanpa Mulai dari Awal) |
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| Sistem sudah dilengkapi **checkpoint anti-duplikasi**. Ketika Modhaus merilis season/objekts baru, jalankan 3 langkah ini: |
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| ### Langkah 1: Unduh Hanya Data & Gambar Baru (Delta Fetch) |
| Script otomatis membaca `sync_checkpoint.json` dan hanya mengunduh data/media yang **belum pernah tersimpan**: |
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| ```bash |
| # 1. Unduh metadata baru & foto baru |
| python3 fetch_objekts.py --download-images |
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| # 2. Unduh video baru jika ada rilis Motion Class baru |
| python3 fetch_media.py |
| ``` |
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| --- |
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| ### Langkah 2: Sinkronkan Checkpoint & Index Hugging Face |
| Regenerasi index `metadata.jsonl` dan perbarui snapshot `sync_checkpoint.json`: |
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| ```bash |
| python3 prepare_hf_dataset.py |
| python3 generate_checkpoint.py |
| ``` |
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| --- |
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| ### Langkah 3: Upload Hanya File Baru ke Hugging Face |
| Script upload menggunakan chunking dan hanya mengunggah file-file baru (*delta changes*): |
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| ```bash |
| python3 upload_to_hf.py --repo-id fadhilafif98/triples-objekts --token YOUR_HF_TOKEN |
| ``` |
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| *(Setelah upload selesai, Anda aman menghapus folder lokal `images/` atau `media/` lagi untuk menghemat kapasitas harddisk)*. |
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| --- |
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| ## 4. Struktur File Lokal & Fungsinya |
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| | File / Direktori | Deskripsi | |
| | :--- | :--- | |
| | `sync_checkpoint.json` | **File state tracker** berisi riwayat 10,983 objekts yang sudah ter-upload agar update berikutnya tidak download ulang | |
| | `all_objekts.json` | Master JSON mentah seluruh objekts dari Apollo / COSMO API | |
| | `summary.json` | Ringkasan statistik jumlah objekts per member, season, dan class | |
| | `by_member/` | Direktori berisi file JSON yang dipisah per masing-masing member (S1-S24) | |
| | `by_season/` | Direktori berisi file JSON yang dipisah per masing-masing season | |
| | `images/` | Direktori lokal foto photocard HD (`_front.png` & `_back.png`) | |
| | `media/` | Direktori lokal video motion & voice (`.mp4`) | |
| | `metadata.jsonl` | File mapping index standar Hugging Face ImageFolder | |
| | `fetch_objekts.py` | Script fetcher dengan auto-checkpoint filter | |
| | `fetch_media.py` | Script downloader untuk video Motion MP4 | |
| | `prepare_hf_dataset.py` | Script mapping file ke `metadata.jsonl` | |
| | `upload_to_hf.py` | Script pengunggah multi-commit ke Hugging Face | |
| | `step.md` | Dokumentasi panduan penggunaan, CDN, dan update | |
| | `README.md` | Dataset Card resmi di Hugging Face | |
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