---
license: other
language:
- en
pretty_name: Spatial Edit Judge Dataset
task_categories:
- image-to-image
size_categories:
- n<1K
tags:
- image-editing
- camera-motion
- spatial-editing
- visual-judge
- edit-verification
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-00000-of-00001.parquet
dataset_info:
  features:
  - name: id
    dtype: string
  - name: before_image
    dtype: image
  - name: after_image
    dtype: image
  - name: instruction
    dtype: string
  - name: type
    dtype: string
  - name: error_kind
    dtype: string
  - name: expected_judge_label
    dtype: string
  - name: is_successful_edit
    dtype: bool
  - name: dataset_origin
    dtype: string
  - name: base_sample_id
    dtype: string
  - name: source_dataset_sample_id
    dtype: string
  - name: original_edit_command
    dtype: string
  - name: wrong_edit_command
    dtype: string
  - name: actual_after_edit_command
    dtype: string
  - name: edit_components
    dtype: string
  - name: source_original_image_id
    dtype: string
  - name: source_original_edit_id
    dtype: string
  - name: source_original_pool_id
    dtype: string
  - name: source_original_bucket
    dtype: string
  - name: source_original_instruction
    dtype: string
  splits:
  - name: train
    num_examples: 378
---

# Spatial Edit Judge Dataset

This dataset tests whether a visual judge can decide if a requested spatial camera edit was actually satisfied.

Each row contains a before image, an after image, a text instruction, and the ground-truth judge label. The judge should answer whether the after image correctly follows the instruction.

## Dataset Structure

The Hugging Face viewer uses:

- `data/train-00000-of-00001.parquet`

The repository also keeps the raw exported files:

- `images/{id}_before.*`
- `images/{id}_after.*`
- `instructions/{id}.txt`
- `metadata.jsonl`
- `metadata.csv`
- `skipped_non_invertible.jsonl`

## Columns

- `before_image`: source image before the edit.
- `after_image`: candidate post-edit image.
- `instruction`: camera edit command shown to the judge.
- `type`: one of `correct`, `error_1`, or `error_2`.
- `error_kind`: `none`, `no_edit`, or `wrong_edit`.
- `expected_judge_label`: `success` for correct edits and `failure` for error cases.
- `is_successful_edit`: boolean version of the expected judge label.
- `dataset_origin`: `bytemorph` or `se`.
- `original_edit_command`: the true edit command from the curated source dataset.
- `wrong_edit_command`: the opposite-direction command used for wrong-edit cases.
- `actual_after_edit_command`: the edit that the after image actually shows, when applicable.

## Case Types

Total rows: 378

- `correct`: 126 rows. The after image is the true edited image for the instruction.
- `error_1`: 126 rows. No edit was done; the after image is a copy of the before image.
- `error_2`: 126 rows. The image pair shows the original edit, but the instruction is swapped to the opposite direction within the same edit type.

## How It Was Created

This dataset was created from two manually curated camera-edit gold sets:

- ByteMorph camera gold set: 30 examples.
- SpatialEdit-Bench camera gold set: 101 examples.

Only examples with safe opposite-direction camera commands were used for this judge dataset. Five ByteMorph examples were skipped because they involved forward or backward camera motion and did not have a safe opposite under the chosen rules.

For every usable base example, three rows were created:

1. `correct`: before image plus true after image, using the original instruction.
2. `error_1`: before image plus the same before image as the after image, using the original instruction.
3. `error_2`: before image plus true after image, but the instruction was changed to the opposite camera direction.

Wrong-edit instructions were created only within the same edit type:

- `zoom in` <-> `zoom out`
- `left` <-> `right`
- `up` <-> `down`

No cross-type swaps were used. For example, zoom commands were only swapped with zoom commands, and pan/tilt commands were only swapped with their opposite direction.

The row order was shuffled with seed `42`.

## Distribution

Case distribution:

- `correct`: 126
- `error_1`: 126
- `error_2`: 126

Origin distribution:

- `bytemorph`: 75
- `se`: 303

Instruction distribution:

- `move camera down and zoom in`: 1
- `move camera left`: 13
- `move camera left and point camera down`: 2
- `move camera right`: 14
- `move camera right and point camera up`: 1
- `move camera up and zoom out`: 2
- `pan camera left`: 27
- `pan camera right`: 30
- `point camera down`: 58
- `point camera up`: 56
- `zoom in`: 87
- `zoom out`: 87

## Intended Use

Use this dataset to evaluate models or rule-based judges that score whether an instruction-guided spatial image edit was successful.

The primary label is `expected_judge_label`:

- `success`: the edit matches the instruction.
- `failure`: the edit is missing or the instruction describes the opposite edit.