README.md

---
license: mit
task_categories:
- question-answering
language:
- en
---
# DISBench: DeepImageSearch Benchmark

DISBench is the first benchmark for context-aware image retrieval over visual histories. It contains 122 queries across 57 users and 109,467 photos, requiring multi-step reasoning over corpus-level context.

## Download

**Option A: Hugging Face (Recommended)**

```bash
huggingface-cli download RUC-NLPIR/DISBench --local-dir DISBench
```

**Option B: Manual Download**

```bash
python download_images.py --photo-ids-path photo_ids --images-path images
```


## File Structure

```
DISBench/
├── queries.jsonl              # 122 annotated queries
├── metadata/
│   └── {user_id}.jsonl        # Photo metadata per user
├── images/
│   └── {user_id}/
│       └── {photo_id}.jpg     # Photo files
├── photo_ids/
│   └── {user_id}.txt          # Photo IDs and hashes per user
└── download_images.py         # Image download script
```

## Data Format

### queries.jsonl

Each line is a JSON object representing one query:

```json
{
    "query_id": "1",
    "user_id": "10287726@N02",
    "query": "Find photos from the musical performance identified by the blue and white event logo on site, where only the lead singer appears on stage.",
    "answer": ["7759256930", "7759407170", "7759295108", "7759433016"],
    "event_type": "intra-event"
}
```

| Field | Type | Description |
|:------|:-----|:------------|
| `query_id` | string | Unique query identifier |
| `user_id` | string | User whose photo collection to search |
| `query` | string | Natural language query (text-only) |
| `answer` | list[string] | Ground-truth target photo IDs |
| `event_type` | string | `"intra-event"` or `"inter-event"` |

### metadata/{user_id}.jsonl

Each line is a JSON object representing one photo's metadata:

```json
{
    "photo_id": "4517621778",
    "metadata": {
        "taken_time": "2010-04-10 13:52:57",
        "longitude": -1.239802,
        "latitude": 51.754123,
        "accuracy": 16.0,
        "address": "Y, Cherwell Street, St Clement's, East Oxford, Oxford, Oxfordshire, England, OX4 1BQ, United Kingdom",
        "capturedevice": "Panasonic DMC-TZ5"
    }
}
```

| Field | Type | Description |
|:------|:-----|:------------|
| `photo_id` | string | Unique photo identifier |
| `metadata.taken_time` | string | Capture time in `YY-MM-DD HH:MM:SS` format |
| `metadata.longitude` | float | GPS longitude. **Missing if unavailable.** |
| `metadata.latitude` | float | GPS latitude. **Missing if unavailable.** |
| `metadata.accuracy` | float | GPS accuracy level. **Missing if unavailable.** |
| `metadata.address` | string | Reverse-geocoded address. **Missing if unavailable.** |
| `metadata.capturedevice` | string | Camera/device name. **Missing if unavailable.** |

> **Note:** Optional fields (`longitude`, `latitude`, `accuracy`, `address`, `capturedevice`) are omitted entirely when unavailable — they will not appear as keys in the JSON object.

### images/{user_id}/{photo_id}.jpg

Photo files organized by user. Each user's collection contains approximately 2,000 photos accumulated chronologically from their photosets.

### photo_ids/{user_id}.txt

Each line represents one photo ID and its hash on aws storage in the format `{photo_id}\t{hash}`:
```
1205732595	c45044fd7b5c9450b2a11adc6b42d
```

| Field | Type | Description |
|:------|:-----|:------------|
| `photo_id` | string | Unique photo identifier |
| `hash` | string | Hashed value of the photo on aws storage |

## Dataset Statistics

| Statistic | Value |
|:----------|:------|
| Total Queries | 122 |
| Intra-Event Queries | 57 (46.7%) |
| Inter-Event Queries | 65 (53.3%) |
| Total Users | 57 |
| Total Photos | 109,467 |
| Avg. Targets per Query | 3.84 |
| Avg. History Span | 3.4 years |
| Query Retention Rate | 6.1% (122 / 2,000 candidates) |
| Inter-Annotator IoU | 0.91 |

## Data Source

DISBench is constructed from [YFCC100M](https://multimediacommons.wordpress.com/yfcc100m-core-dataset/), which preserves a hierarchical structure of users → photosets → photos. All images are publicly shared under Creative Commons licenses. Photoset boundaries are used during construction but are **not** provided to models during evaluation.

## License

The DISBench dataset follows the Creative Commons licensing terms of the underlying YFCC100M data. Please refer to individual image licenses for specific usage terms.