--- configs: - config_name: samples data_files: - split: test path: - samples/*/query.json - config_name: protected data_files: - split: test path: - protected/*/test.json - config_name: validation data_files: - split: test path: - protected/*/validation.json task_categories: - text-to-image paper_ids: - "2603.01493" --- ## Quick Links

🏠 GitHub · 📄 arXiv · 🏅 Leaderboard · 📦 Dataset · 🏅 Protected Leaderboard · 📦 Protected Dataset · 🖼️ Raw Images: obox · Google Drive (pwd: Oppo2026)

--- # PhotoBench-Protected Dataset Overview PhotoBench-Protected is the limited-information release of PhotoBench, the first benchmark constructed from authentic, personal albums for personalized multi-source intent-driven photo retrieval. This release provides pre-computed captions, embeddings, and metadata for agent-based evaluation. This folder provides two components for evaluation and research: - Samples: a small, display-oriented subset with images for demonstration only. - Protected: machine-readable features without raw images for local evaluation. ## Directory Layout ``` dataset/ ├── README.md # English overview (this file) ├── README_CN.md # Chinese overview ├── samples/ # Display subset (per album, 20 queries with display images) │ ├── album1/ │ │ ├── query.json # 20 queries with GroundTruth image filenames │ │ └── images/ # display images referenced by GroundTruth │ ├── album2/ │ └── album3/ │ ├── README.md │ └── sample_queries.schema.json └── protected/ # Features for local evaluation (no raw images) ├── album1/ │ ├── test.json # test queries for leaderboard evaluation │ ├── validation.json # validation queries for local self-testing │ ├── query.json # all queries (test + validation combined) │ └── images/ │ ├── captions/ # text indices by model │ ├── embeddings/ # vector indices by model │ ├── metadata/ │ │ └── metadata.json # location/time metadata (privacy-preserving) │ └── faceid/ │ ├── face_info_cn.json │ ├── face_info_en.json │ └── face_id_images/ ├── album2/ └── album3/ ``` ## Test vs. Validation Split To prevent data leakage and overfitting, the **protected release strictly separates test and validation queries**: - **`test.json`** — Queries used for official leaderboard evaluation. Submit predictions for these queries to the [Protected Leaderboard](https://huggingface.co/spaces/SorrowTea/PhotoBench-Protected/). - **`validation.json`** — Queries for local self-testing only. These **will not** be scored on the leaderboard. - **`query.json`** — Combined set of all queries (test + validation) for convenience. > **Why this split?** The [full PhotoBench dataset](https://huggingface.co/datasets/SorrowTea/PhotoBench) provides `validation.json` with ground-truth annotations so you can tune your model locally. To ensure fair comparison, the protected leaderboard **only evaluates on `test.json`** queries. Do not train or tune on test queries. ## Files and Field Definitions ### protected/test.json - Type: list of query objects for leaderboard evaluation. - Key fields: - `query_cn`: text of the retrieval intent (Chinese). - `query_en`: text of the retrieval intent (English). - `Location`, `Time`, `Person`, `Object`, `Concept`, `Genre`: dimension annotations. - `Source`: source category label. ### protected/validation.json - Same structure as `test.json`. - For local self-evaluation only; **not** evaluated on the leaderboard. ### protected/query.json (album-level, all queries) - Combined test + validation queries. - Contains the same query fields as `test.json`. ### protected/images/captions/ - Per-model text indices for caption-based retrieval. - Each `metadata.json` includes: - `model_name`: the name of the caption model. - `filenames`: list of image filenames included in the index. ### protected/images/embeddings/ - Per-model vector indices for image embedding retrieval. - Each `metadata.json` includes: - `model_name` - `filenames` ### protected/images/metadata/metadata.json - Privacy-preserving location and time metadata for images. - Fields: - `latitude`: decimal degrees rounded to approximately 10 meters. - `longitude`: decimal degrees rounded to approximately 10 meters. - `time`: ISO-format timestamp string. ### protected/images/faceid/ - Anonymized person information to support social/identity reasoning without exposing raw identities. - Files: - `face_info_cn.json` / `face_info_en.json` include: - `face_id_to_nicknames`: mapping from face IDs to anonymized names/nicknames. - `image_to_face_ids`: mapping from image filename to a list of face IDs present. - `face_id_images/`: representative images for face IDs that appear. ## Intended Use and Evaluation - Samples: for display and qualitative understanding; not for model training. - Protected: for local algorithms to run against machine-readable features. - Evaluation: submit results (e.g., `submission.json`) for scoring against hidden GroundTruth. ## Submission Format When submitting to the leaderboard, combine queries from all albums into a **single JSON array** and add the `album_id` field to each query object: ```json [ { "album_id": "1", "query_en": "cluttered desk", "pred": ["IMG_1234.jpg", "IMG_5678.jpg", ...] }, { "album_id": "2", "query_en": "girl in purple sweater", "pred": ["IMG_9012.jpg", ...] } ] ``` **Important:** - `album_id` must be `"1"`, `"2"`, or `"3"`. - `query_en` must match exactly (case-sensitive). - `pred` is an **ordered** list of predicted image filenames. Order matters for NDCG. - Only full submissions (all 3 albums, all test queries) are eligible for public leaderboard ranking.