imagesVchitect/ShotBenchvision-languagebenchmarkcinematographyvideoevaluationvlmmultimodalqa
ShotBench: Cinematic Understanding Benchmark for VLMs
About this data
3,572 expert-level QA pairs over 3,049 images and 464 video clips from Oscar-nominated cinematography films, for evaluating cinematic understanding in vision-language models.
Schema
| Name | Type | Description |
|---|---|---|
| index | BIGINT | Unique identifier for each question-answer pair (1–3,572). |
| type | VARCHAR | Media format as JSON array; either ["image"] or ["video"]. |
| path | VARCHAR | File path(s) to media asset(s) as JSON array; format image/ID.jpg or video/ID.mp4. |
| question | VARCHAR | Multiple-choice question about cinematic technique applied to the media. |
| options | VARCHAR | JSON object mapping letter keys (A–D) to answer choice strings. |
| answer | VARCHAR | Correct answer label as single letter (A, B, C, or D). |
| category | VARCHAR | Cinematic skill dimension: shot size, framing, camera angle, lens, lighting, composition, or movement. |
Sample Data
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Free
Open dataset
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Seller: DataBazaar
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Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "ShotBench: Cinematic Understan" })
// Found: b1eb2f57-2782-4ad5-9a05-091512ee81db
get_download_url({ dataset_id: "b1eb2f57-2782-4ad5-9a05-091512ee81db" }) // free — no API key neededVia REST API
# Free dataset — no API key required: curl https://api.databazaar.io/datasets/b1eb2f57-2782-4ad5-9a05-091512ee81db/download-url