---
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).