Datasets:
Spatial Markup Editing β Add/Remove
Private. Non-commercial research use only. Derived from OBER, which is released under the NTU S-Lab License 1.0. Do not make this repository public or redistribute its contents.
Image-editing pairs where the edit target is indicated by a spatial markup drawn on the input image.
| Operation | Samples | Prompt | Subsets |
|---|---|---|---|
| remove | 200 | remove it |
captured 150, synthetic_shadow_single_object 40, synthetic_reflection 10 |
| add | 199 | add {object} |
captured 149, synthetic_shadow_single_object 40, synthetic_reflection 10 |
add is built by swapping a remove pair, so its supervision is approximate: the ground truth can contain
shadows or reflections the prompt does not mention. One add sample (ober-cap-07746) is missing because
the VLM caption ("stone") was rejected as attribute-only.
Layout
manifests/ all|remove|add .jsonl/.csv, qa_report.json, qa_grid_*.jpg
processed/ remove/<sample_id>/ and add/<sample_id>/:
input.png gt.png markup.png input_markup.png preview.png metadata.json
Each manifest row has sample_id, paired_sample_id, operation, prompt, object, file paths relative to
the repository root (input, gt, markup, input_markup, preview, metadata), width, height,
bbox_xyxy, subset, split, global_row and qa_status (pass / warn; every warn is markup_clipped).
Loading
from huggingface_hub import snapshot_download
from datasets import load_dataset
root = snapshot_download("paingoat/sme-add-remove", repo_type="dataset")
ds = load_dataset("json", data_files=f"{root}/manifests/all.jsonl")["train"]
# image paths in each row are relative to `root`
Provenance
Objects captioned with Qwen/Qwen3-VL-2B-Instruct (prompt_v1). Source: OBER, pinned revision
25e064b39bf675fefb9ac4d2e2cd962037b7206c.
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