Datasets:
File size: 2,036 Bytes
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license: mit
size_categories:
- 100M<n<1B
task_categories:
- image-text-to-text
- object-detection
language:
- en
tags:
- art
---
# AmbiBench Metadata
This dataset provides the **metadata** used in the AmbiBench benchmark.
Each row corresponds to an ambiguous image or video sample paired with a question–answer pair, derived from the benchmark design.
---
## Columns
### `question`
- The natural-language question posed to the model.
### `answer`
- The reference answer to the `question`.
- May include:
- A single object name (`"snake"`),
- A semicolon-separated pair for bistable/multi-scene (`"duck; rabbit"`),
- Or multiple objects/scenes (`"bear, deer, wolf, bird"`).
### `file_name`
- Cleaned filename of the associated image or video.
- Any inline bounding box tags in the original filename (e.g.
`2120_netimg_hidden_face_illusion_[1152,807,1392,1263].jpg`)
are removed, and the coordinates are stored separately in `bbox`.
- ⚠️ **Special case: `motion_video` samples** — the stored file names end with `.png` as placeholders.
For actual usage, replace `.png` with `.mp4` to access the corresponding video file.
### `bbox`
- A list of bounding box coordinates `[x1, y1, x2, y2]` if required by the question.
- Empty list (`[]`) if no bounding box is provided.
### `type`
- Combined label = **Ambiguity category** (*from the AmbiBench taxonomy*) + **Task type**.
- Categories include:
*Camouflaged, Bistable, Hybrid, Color, Multi-view, Geometric, Motion, Multi-scene, Mixed*.
- Task types include: *open-ended, localization(bbox), region*.
- Example values:
- `"camouflaged_open"`
- `"mix_bbox"`
- `"mix_highlighted"`
---
## Notes
- All entries include consistent fields: `question`, `answer`, `file_name`, `bbox`, `type`.
- `motion_video` entries must be linked to the corresponding `.mp4` files (replace `.png` extension).
- This metadata is suitable for training and evaluating vision–language models on ambiguous image understanding.
--- |