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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: string
- name: split_type
dtype: string
- name: objects
dtype: string
- name: object_set
dtype: string
- name: relations
dtype: string
- name: size
dtype: string
configs:
- config_name: default
data_files:
- split: train
path: train-*.parquet
- split: validation
path: validation-*.parquet
---
# ROPE
ROPE is an object detection benchmark combining images from ADE20K and COCO with bounding box annotations. 5,161 examples across 5 spatial relationship patterns (AAAAB, BAAAA, homogenous, heterogenous, mixed).
## Fields
| Field | Description |
|-------|-------------|
| image | Input image (with bounding box overlays) |
| label | Source dataset: `ADE` or `COCO` |
| split_type | Relationship pattern |
| objects | JSON-encoded list of objects with bounding boxes |
| object_set | JSON-encoded list of object names |
| relations | JSON-encoded spatial relations |
| size | JSON-encoded image dimensions |
Converted from [sled-umich/ROPE](https://huggingface.co/datasets/sled-umich/ROPE).
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