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  1. .cache/.DS_Store +0 -0
  2. README.md +19 -34
  3. media/Binary02/SeoYeon/binary02-seoyeon-501z.mp4 +3 -0
  4. media/Binary02/SeoYeon/binary02-seoyeon-502z.mp4 +3 -0
  5. media/Binary02/SeoYeon/binary02-seoyeon-503z.mp4 +3 -0
  6. media/Binary02/YuBin/binary02-yubin-501z.mp4 +3 -0
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  9. media/Cream02/ChaeWon/cream02-chaewon-501z.mp4 +3 -0
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  11. media/Cream02/ChaeYeon/cream02-chaeyeon-501z.mp4 +3 -0
  12. media/Cream02/ChaeYeon/cream02-chaeyeon-502z.mp4 +3 -0
  13. media/Cream02/DaHyun/cream02-dahyun-501z.mp4 +3 -0
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  15. media/Cream02/HaYeon/cream02-hayeon-501z.mp4 +3 -0
  16. media/Cream02/HaYeon/cream02-hayeon-502z.mp4 +3 -0
  17. media/Cream02/HyeRin/cream02-hyerin-501z.mp4 +3 -0
  18. media/Cream02/HyeRin/cream02-hyerin-502z.mp4 +3 -0
  19. media/Cream02/JiWoo/cream02-jiwoo-501z.mp4 +3 -0
  20. media/Cream02/JiWoo/cream02-jiwoo-502z.mp4 +3 -0
  21. media/Cream02/JiYeon/cream02-jiyeon-501z.mp4 +3 -0
  22. media/Cream02/JiYeon/cream02-jiyeon-502z.mp4 +3 -0
  23. media/Cream02/JooBin/cream02-joobin-501z.mp4 +3 -0
  24. media/Cream02/JooBin/cream02-joobin-502z.mp4 +3 -0
  25. media/Cream02/Lynn/cream02-lynn-501z.mp4 +3 -0
  26. media/Cream02/Lynn/cream02-lynn-502z.mp4 +3 -0
  27. media/Cream02/Mayu/cream02-mayu-501z.mp4 +3 -0
  28. media/Cream02/Mayu/cream02-mayu-502z.mp4 +3 -0
  29. media/Cream02/Nien/cream02-nien-501z.mp4 +3 -0
  30. media/Cream02/Nien/cream02-nien-502z.mp4 +3 -0
  31. media/Cream02/SeoAh/cream02-seoah-501z.mp4 +3 -0
  32. media/Cream02/SeoAh/cream02-seoah-502z.mp4 +3 -0
  33. media/Cream02/ShiOn/cream02-shion-501z.mp4 +3 -0
  34. media/Cream02/ShiOn/cream02-shion-502z.mp4 +3 -0
  35. media/Cream02/SoHyun/cream02-sohyun-501z.mp4 +3 -0
  36. media/Cream02/SoHyun/cream02-sohyun-502z.mp4 +3 -0
  37. media/Cream02/SooMin/cream02-soomin-501z.mp4 +3 -0
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  39. media/Cream02/Xinyu/cream02-xinyu-501z.mp4 +3 -0
  40. media/Cream02/Xinyu/cream02-xinyu-502z.mp4 +3 -0
  41. media/Cream02/YeonJi/cream02-yeonji-502z.mp4 +3 -0
  42. media/Cream02/YooYeon/cream02-yooyeon-501z.mp4 +3 -0
  43. media/Cream02/YooYeon/cream02-yooyeon-502z.mp4 +3 -0
  44. media/Cream02/moon/cream02-moon-066z.mp4 +3 -0
  45. media/Cream02/neptune/cream02-neptune-886z.mp4 +3 -0
  46. media/Cream02/sun/cream02-sun-081z.mp4 +3 -0
  47. media/Cream02/zenith/cream02-zenith-082z.mp4 +3 -0
  48. metadata.jsonl +2 -2
  49. step.md +172 -0
  50. sync_checkpoint.json +0 -0
.cache/.DS_Store ADDED
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README.md CHANGED
@@ -18,6 +18,7 @@ tags:
18
  - cosmo
19
  - modhaus
20
  - digital-collectibles
 
21
  size_categories:
22
  - 10K<n<100K
23
  pretty_name: tripleS Objekts Archive
@@ -27,6 +28,10 @@ dataset_info:
27
  dtype: string
28
  - name: image
29
  dtype: image
 
 
 
 
30
  - name: slug
31
  dtype: string
32
  - name: id
@@ -67,7 +72,7 @@ dataset_info:
67
  dtype: string
68
  ---
69
 
70
- # tripleS Objekts Archive (HD Images & Full Metadata)
71
 
72
  Complete digital collectible photocards (Objekts) dataset for the K-Pop girl group **tripleS** (Modhaus / COSMO app).
73
 
@@ -75,24 +80,25 @@ Complete digital collectible photocards (Objekts) dataset for the K-Pop girl gro
75
 
76
  - **Total Objekts**: 10,983 unique digital collectibles
77
  - **Total Images**: 21,298 high-resolution card scans (Front & Back)
 
78
  - **Members**: All 24 members (S1–S24) + Sub-units (AAA, KRE, Assemble24, etc.)
79
  - **Seasons Included**: Atom01, Atom02, Binary01, Binary02, Cream01, Cream02, Divine01, Ever01
80
- - **Metadata fields**: `member`, `season`, `class`, `collectionNo`, `shortCode`, `side` (front/back), `onOffline`, `comoAmount`, `accentColor`, `contract`, `createdAt`, `description`.
81
 
82
  ## Directory Structure
83
 
84
  ```text
85
- ├── metadata.jsonl # Hugging Face Dataset format linking all images & attributes
86
  ├── all_objekts.json # Master raw JSON containing all 10,983 objekt items
87
  ├── summary.json # Statistical counts by member, season, and class
 
88
  ├── by_member/ # Subdivided JSON files per member
89
  ├── by_season/ # Subdivided JSON files per season
90
- ── images/ # Hierarchical HD card images
91
- ── Atom01/
92
- ├── JiWoo/
93
- │ ├── atom01-jiwoo-100z_front.png
94
- └── atom01-jiwoo-100z_back.png
95
- │ └── ...
96
  └── ...
97
  ```
98
 
@@ -104,7 +110,7 @@ Complete digital collectible photocards (Objekts) dataset for the K-Pop girl gro
104
  from datasets import load_dataset
105
 
106
  # Load dataset with automatic image decoding
107
- dataset = load_dataset("<YOUR_HF_USERNAME>/triples-objekts", split="train")
108
 
109
  # Access sample item
110
  first_sample = dataset[0]
@@ -115,31 +121,10 @@ image = first_sample["image"]
115
  image.show()
116
  ```
117
 
118
- ### Filtering by Member & Season
119
-
120
- ```python
121
- jiwoo_atom01 = dataset.filter(lambda x: x["member"] == "JiWoo" and x["season"] == "Atom01" and x["side"] == "front")
122
- print(f"Total JiWoo Atom01 front cards: {len(jiwoo_atom01)}")
123
- ```
124
 
125
- ## Data Fields
126
-
127
- | Field | Type | Description |
128
- | :--- | :--- | :--- |
129
- | `image` | `Image` | Decoded photocard image |
130
- | `file_name` | `string` | Relative path to image file |
131
- | `slug` | `string` | Unique slug identifier |
132
- | `side` | `string` | Card face (`front` or `back`) |
133
- | `member` | `string` | Member name (e.g. `SeoYeon`, `JiWoo`, `Xinyu`, etc.) |
134
- | `season` | `string` | Release season (`Atom01`, `Binary01`, `Cream01`, etc.) |
135
- | `class` | `string` | Objekt class (`First`, `Special`, `Double`, `Welcome`, `Zero`) |
136
- | `collectionNo` | `string` | Collection serial number (e.g. `100Z`, `301A`) |
137
- | `shortCode` | `string` | Short identifier code (e.g. `A100Z`, `B201A`) |
138
- | `onOffline` | `string` | Availability type (`online` or `offline`) |
139
- | `comoAmount` | `int` | Voting COMO units provided by objekt |
140
- | `accentColor` | `string` | Hex accent color string |
141
- | `contract` | `string` | Polygon blockchain smart contract address |
142
- | `createdAt` | `int` | Unix epoch millisecond timestamp |
143
 
144
  ## Disclaimer & Copyright
145
 
 
18
  - cosmo
19
  - modhaus
20
  - digital-collectibles
21
+ - video-classification
22
  size_categories:
23
  - 10K<n<100K
24
  pretty_name: tripleS Objekts Archive
 
28
  dtype: string
29
  - name: image
30
  dtype: image
31
+ - name: media_file_name
32
+ dtype: string
33
+ - name: frontMedia
34
+ dtype: string
35
  - name: slug
36
  dtype: string
37
  - name: id
 
72
  dtype: string
73
  ---
74
 
75
+ # tripleS Objekts Archive (HD Images, Motion MP4s & Full Metadata)
76
 
77
  Complete digital collectible photocards (Objekts) dataset for the K-Pop girl group **tripleS** (Modhaus / COSMO app).
78
 
 
80
 
81
  - **Total Objekts**: 10,983 unique digital collectibles
82
  - **Total Images**: 21,298 high-resolution card scans (Front & Back)
83
+ - **Total Motion & Voice Videos**: 125 animated card loops & voice message MP4 clips
84
  - **Members**: All 24 members (S1–S24) + Sub-units (AAA, KRE, Assemble24, etc.)
85
  - **Seasons Included**: Atom01, Atom02, Binary01, Binary02, Cream01, Cream02, Divine01, Ever01
86
+ - **Metadata fields**: `member`, `season`, `class`, `collectionNo`, `shortCode`, `side` (front/back), `frontMedia`, `media_file_name`, `hasAudio`, `onOffline`, `comoAmount`, `accentColor`, `contract`, `createdAt`, `description`.
87
 
88
  ## Directory Structure
89
 
90
  ```text
91
+ ├── metadata.jsonl # Hugging Face Dataset format linking all images, media & attributes
92
  ├── all_objekts.json # Master raw JSON containing all 10,983 objekt items
93
  ├── summary.json # Statistical counts by member, season, and class
94
+ ├── sync_checkpoint.json # Incremental update state tracker
95
  ├── by_member/ # Subdivided JSON files per member
96
  ├── by_season/ # Subdivided JSON files per season
97
+ ── images/ # Hierarchical HD card images (Front & Back)
98
+ ── media/ # Hierarchical Motion & Voice MP4 video clips
99
+ ├── Binary02/
100
+ ── SeoYeon/
101
+ └── binary02-seoyeon-360z.mp4
 
102
  └── ...
103
  ```
104
 
 
110
  from datasets import load_dataset
111
 
112
  # Load dataset with automatic image decoding
113
+ dataset = load_dataset("fadhilafif98/triples-objekts", split="train")
114
 
115
  # Access sample item
116
  first_sample = dataset[0]
 
121
  image.show()
122
  ```
123
 
124
+ ### Direct CDN Access (Images & Video)
 
 
 
 
 
125
 
126
+ * **Front Image**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/{season}/{member}/{slug}_front.png`
127
+ * **Motion Video (.mp4)**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/{season}/{member}/{slug}.mp4`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
128
 
129
  ## Disclaimer & Copyright
130
 
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1
+ # Panduan Penggunaan, CDN & Update Dataset tripleS Objekts
2
+
3
+ Repository Hugging Face: **[fadhilafif98/triples-objekts](https://huggingface.co/datasets/fadhilafif98/triples-objekts)**
4
+
5
+ ---
6
+
7
+ ## 📌 Status Terakhir Snapshot Data (Sync Checkpoint)
8
+
9
+ > **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.
10
+
11
+ | Parameter | Nilai Terakhir |
12
+ | :--- | :--- |
13
+ | **Tanggal Sync Terakhir** | `2026-08-16` |
14
+ | **Timestamp Data Terakhir (`latest_created_at`)** | `1786582823000` *(2026-08-13T01:00:23Z)* |
15
+ | **Total Objekts Terindeks** | `10,983` unik objekts |
16
+ | **Total Foto Photocard Ter-upload** | `21,298` file (`_front.png` & `_back.png`) |
17
+ | **Total Video Motion & Voice Ter-upload** | `125` file (`.mp4`) |
18
+ | **Daftar Season yang Sudah Masuk** | `Atom01`, `Atom02`, `Binary01`, `Binary02`, `Cream01`, `Cream02`, `Divine01`, `Ever01` |
19
+ | **Total Member Tercover** | 24 Member (S1–S24) + Semua Sub-unit |
20
+ | **File Tracker Status** | [`sync_checkpoint.json`](./sync_checkpoint.json) *(Track 10,983 slug unik)* |
21
+
22
+ ---
23
+
24
+ ## 1. Cara Menggunakan Dataset via Python `datasets`
25
+
26
+ ### A. Load Standar
27
+
28
+ ```bash
29
+ pip install datasets pillow
30
+ ```
31
+
32
+ ```python
33
+ from datasets import load_dataset
34
+
35
+ # 1. Download & load dataset
36
+ dataset = load_dataset("fadhilafif98/triples-objekts", split="train")
37
+ print(f"Total data: {len(dataset)}")
38
+
39
+ # 2. Akses item pertama
40
+ sample = dataset[0]
41
+ print("Member :", sample["member"])
42
+ print("Season :", sample["season"])
43
+ print("Class :", sample["class"])
44
+ print("Side :", sample["side"])
45
+
46
+ # 3. Tampilkan gambar photocard
47
+ img = sample["image"]
48
+ img.show()
49
+ ```
50
+
51
+ ---
52
+
53
+ ## 2. Cara Menggunakan Hugging Face sebagai Direct CDN (Web / App / Bot)
54
+
55
+ Hugging Face menyediakan endpoint CDN global Cloudflare gratis berkecepatan tinggi.
56
+
57
+ ### A. Format URL CDN Gambar (Photocard)
58
+
59
+ ```text
60
+ https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/{season}/{member}/{slug}_{side}.png
61
+ ```
62
+
63
+ * **Front Image**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/Atom01/JiWoo/atom01-jiwoo-100z_front.png`
64
+ * **Back Image**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/images/Atom01/JiWoo/atom01-jiwoo-100z_back.png`
65
+
66
+ ---
67
+
68
+ ### B. Format URL CDN Video / Motion / Voice Objekts (MP4)
69
+
70
+ ```text
71
+ https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/{season}/{member}/{slug}.mp4
72
+ ```
73
+
74
+ * **Motion Loop**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-503z.mp4`
75
+ * **Voice Clip**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-360z.mp4`
76
+
77
+ Contoh di HTML:
78
+ ```html
79
+ <video autoplay loop muted playsinline width="300">
80
+ <source
81
+ src="https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/media/Binary02/SeoYeon/binary02-seoyeon-503z.mp4"
82
+ type="video/mp4"
83
+ />
84
+ </video>
85
+ ```
86
+
87
+ ---
88
+
89
+ ### C. Helper Function di JavaScript / TypeScript
90
+
91
+ ```javascript
92
+ const HF_CDN_BASE = "https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main";
93
+
94
+ // 1. Photocard Image CDN URL
95
+ export function getObjektImageUrl(season, member, slug, side = 'front', ext = 'png') {
96
+ return `${HF_CDN_BASE}/images/${season}/${member}/${slug}_${side}.${ext}`;
97
+ }
98
+
99
+ // 2. Motion Video / Voice CDN URL
100
+ export function getObjektVideoUrl(season, member, slug) {
101
+ return `${HF_CDN_BASE}/media/${season}/${member}/${slug}.mp4`;
102
+ }
103
+ ```
104
+
105
+ ---
106
+
107
+ ### D. Akses Raw JSON / Metadata via CDN
108
+
109
+ * **Master JSON**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/all_objekts.json`
110
+ * **Summary Stats**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/summary.json`
111
+ * **Checkpoint Tracker**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/sync_checkpoint.json`
112
+ * **Per-Member (e.g. JiWoo)**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/by_member/JiWoo.json`
113
+ * **Per-Season (e.g. Atom01)**: `https://huggingface.co/datasets/fadhilafif98/triples-objekts/resolve/main/by_season/Atom01.json`
114
+
115
+ ---
116
+
117
+ ## 3. Cara Update Data Baru di Masa Depan (Tanpa Mulai dari Awal)
118
+
119
+ Sistem sudah dilengkapi **checkpoint anti-duplikasi**. Ketika Modhaus merilis season/objekts baru, jalankan 3 langkah ini:
120
+
121
+ ### Langkah 1: Unduh Hanya Data & Gambar Baru (Delta Fetch)
122
+ Script otomatis membaca `sync_checkpoint.json` dan hanya mengunduh data/media yang **belum pernah tersimpan**:
123
+
124
+ ```bash
125
+ # 1. Unduh metadata baru & foto baru
126
+ python3 fetch_objekts.py --download-images
127
+
128
+ # 2. Unduh video baru jika ada rilis Motion Class baru
129
+ python3 fetch_media.py
130
+ ```
131
+
132
+ ---
133
+
134
+ ### Langkah 2: Sinkronkan Checkpoint & Index Hugging Face
135
+ Regenerasi index `metadata.jsonl` dan perbarui snapshot `sync_checkpoint.json`:
136
+
137
+ ```bash
138
+ python3 prepare_hf_dataset.py
139
+ python3 generate_checkpoint.py
140
+ ```
141
+
142
+ ---
143
+
144
+ ### Langkah 3: Upload Hanya File Baru ke Hugging Face
145
+ Script upload menggunakan chunking dan hanya mengunggah file-file baru (*delta changes*):
146
+
147
+ ```bash
148
+ python3 upload_to_hf.py --repo-id fadhilafif98/triples-objekts --token YOUR_HF_TOKEN
149
+ ```
150
+
151
+ *(Setelah upload selesai, Anda aman menghapus folder lokal `images/` atau `media/` lagi untuk menghemat kapasitas harddisk)*.
152
+
153
+ ---
154
+
155
+ ## 4. Struktur File Lokal & Fungsinya
156
+
157
+ | File / Direktori | Deskripsi |
158
+ | :--- | :--- |
159
+ | `sync_checkpoint.json` | **File state tracker** berisi riwayat 10,983 objekts yang sudah ter-upload agar update berikutnya tidak download ulang |
160
+ | `all_objekts.json` | Master JSON mentah seluruh objekts dari Apollo / COSMO API |
161
+ | `summary.json` | Ringkasan statistik jumlah objekts per member, season, dan class |
162
+ | `by_member/` | Direktori berisi file JSON yang dipisah per masing-masing member (S1-S24) |
163
+ | `by_season/` | Direktori berisi file JSON yang dipisah per masing-masing season |
164
+ | `images/` | Direktori lokal foto photocard HD (`_front.png` & `_back.png`) |
165
+ | `media/` | Direktori lokal video motion & voice (`.mp4`) |
166
+ | `metadata.jsonl` | File mapping index standar Hugging Face ImageFolder |
167
+ | `fetch_objekts.py` | Script fetcher dengan auto-checkpoint filter |
168
+ | `fetch_media.py` | Script downloader untuk video Motion MP4 |
169
+ | `prepare_hf_dataset.py` | Script mapping file ke `metadata.jsonl` |
170
+ | `upload_to_hf.py` | Script pengunggah multi-commit ke Hugging Face |
171
+ | `step.md` | Dokumentasi panduan penggunaan, CDN, dan update |
172
+ | `README.md` | Dataset Card resmi di Hugging Face |
sync_checkpoint.json ADDED
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