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Fix blank leaderboard, unify metric scale to
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NAVIGATION = """
<div style="text-align:center; margin-bottom: 24px;">
<div style="display:inline-flex; flex-wrap:wrap; gap:8px; justify-content:center;">
<a href="https://github.com/LaVieEnRose365/PhotoBench" target="_blank" style="text-decoration:none;">
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#555; font-size:0.85em; font-weight:500; transition:all 0.2s;">🏠 GitHub</span>
</a>
<a href="https://arxiv.org/abs/2603.01493v1" target="_blank" style="text-decoration:none;">
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#555; font-size:0.85em; font-weight:500;">πŸ“„ arXiv</span>
</a>
<span style="display:inline-block; padding:8px 14px; background:#F37021; border:1px solid #F37021; border-radius:10px; color:#fff; font-size:0.85em; font-weight:600;">πŸ… Leaderboard</span>
<a href="https://huggingface.co/datasets/SorrowTea/PhotoBench" target="_blank" style="text-decoration:none;">
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#555; font-size:0.85em; font-weight:500;">πŸ“¦ Dataset</span>
</a>
<a href="https://huggingface.co/spaces/SorrowTea/PhotoBench-Protected/" target="_blank" style="text-decoration:none;">
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#545; font-size:0.85em; font-weight:500;">πŸ… Protected Leaderboard</span>
</a>
<a href="https://huggingface.co/datasets/SorrowTea/PhotoBench-Protected" target="_blank" style="text-decoration:none;">
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#545; font-size:0.85em; font-weight:500;">πŸ“¦ Protected Dataset</span>
</a>
<span style="display:inline-block; padding:8px 14px; background:#fff; border:1px solid #e8e0d8; border-radius:10px; color:#555; font-size:0.85em; font-weight:500;">
πŸ–ΌοΈ Raw Images:
<a href="https://sbox.myoas.com/l/Be5be4053f6b43840" target="_blank" style="color:#555; text-decoration:none; font-weight:600;">obox</a>
Β·
<a href="https://drive.google.com/drive/folders/1IyAlRskgnXG6pJ7fYL5Ie0SFDKZ95-cI?usp=drive_link" target="_blank" style="color:#555; text-decoration:none; font-weight:600;">Google Drive</a>
(pwd: Oppo2026)
</span>
</div>
</div>
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TITLE = """
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<h1 style="color:#1a1a1a; font-size:3em; font-weight:600; letter-spacing:-1px; margin:0; font-family:-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;">
PhotoBench
</h1>
<p style="color:#F37021; font-size:1.1em; font-weight:500; letter-spacing:2px; margin:12px 0 0 0;">
OFFICIAL LEADERBOARD
</p>
<div style="width:60px; height:3px; background:#F37021; margin:20px auto; border-radius:2px;"></div>
<p style="color:#666; font-size:0.95em; margin-top:12px;">
Open-ended Image Retrieval Benchmark
</p>
</div>
"""
INTRODUCTION = """
<div style="text-align:center; margin:0 auto 40px; color:#444; line-height:1.8;">
<strong>PhotoBench</strong> is the first benchmark constructed from authentic, personal albums, designed to shift the paradigm from visual matching to personalized multi-source intent-driven photo retrieval.
This leaderboard provides the <strong>complete raw image collection</strong> for unrestricted image retrieval research.
Unlike the protected version, you are free to choose your own embedding model, caption generator, or agent-based workflow.
<a href="https://huggingface.co/datasets/SorrowTea/PhotoBench" target="_blank" style="color:#F37021; font-weight:600; text-decoration:none;">Download the dataset β†—</a> to get started, then submit your prediction results and see how your approach ranks on the leaderboard.
</div>
"""
SUBMISSION_GUIDE = """
### Submission Format
The dataset provides one `albumN_test.json` per album. You must **combine all albums into a single JSON array** and add the `album_id` field to each query before submitting.
**Example transformation:**
```python
import json
submission = []
for album_id in ["1", "2", "3"]:
with open(f"album{album_id}_test.json") as f:
queries = json.load(f)
for q in queries:
submission.append({
"album_id": album_id,
"query_en": q["query_en"],
"pred": ["IMG_0001.JPG", "IMG_0002.JPG", ...] # your predictions
})
with open("submission.json", "w") as f:
json.dump(submission, f, indent=2)
```
**Final submission format:**
```json
[
{
"album_id": "1",
"query_en": "cluttered desk",
"pred": ["IMG_1234.jpg", "IMG_5678.jpg", ...]
}
]
```
**Required fields:**
- `album_id`: Album number (`"1"`, `"2"`, or `"3"` β€” string)
- `query_en`: The English query text (must match exactly, case-sensitive)
- `pred`: Ordered list of predicted image filenames (order matters for NDCG)
You may submit results for any subset of albums. Partial submissions are accepted and evaluated, but **only full submissions** (all 3 albums, all queries) are eligible for public leaderboard ranking.
"""
EVALUATION_INFO = """
### Evaluation Metrics
| Metric | Description |
|--------|-------------|
| **Recall@k** | Proportion of ground-truth images found in top-k predictions |
| **NDCG@k** | Normalized Discounted Cumulative Gain at rank k |
Supported k values: **1, 5, 10, 20, 50, 100**
Results are averaged across all evaluated queries per album, then averaged across albums for the final leaderboard score.
"""
METHOD_INFO = """
### Method Categories
- **Embedding** β€” Image/text embedding-based retrieval (e.g., CLIP, SigLIP)
- **Caption** β€” Caption-based indexing and retrieval
- **Agent** β€” LLM agent with multi-step planning and tool use
"""
ELIGIBILITY_INFO = """
### Why Isn't My Submission on the Leaderboard?
Evaluation and leaderboard ranking are two separate steps. **Every well-formed submission is fully evaluated and receives its metric scores** β€” no exceptions. However, **only complete submissions are eligible for the public leaderboard**. To be ranked, a submission must satisfy all three conditions:
1. **Cover all 3 albums** (album 1, 2, and 3). Missing any album disqualifies the entry.
2. **Answer every query.** The system matches each submitted item against the ground truth by `query_en`; only matched queries count. If any ground-truth queries are missing from your file, the submission is marked as *partial* and cannot be ranked. Extra queries (e.g., from an outdated `test.json`) are simply ignored β€” a few of them do not affect eligibility.
3. **Opt in to publish.** If "Publish to public leaderboard" is unchecked, your result is recorded privately and never appears on the board.
Why so strict? Leaderboard numbers must be comparable. If two methods answered different sets of queries, comparing their average scores would be meaningless β€” so only results that answer **every query in every album** are ranked.
If your submission does not appear on the leaderboard, the returned result tells you why, for example:
> Result saved but NOT eligible for leaderboard: incomplete submission (850/900 queries). Only full submissions across all 3 albums are ranked.
This is **not** a failure β€” your metrics are still computed and returned to you. Simply fill in the missing queries and resubmit (note: each email may submit once per hour).
Finally, for repeated submissions under the same email and model name, only the best-scoring entry is kept.
"""
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