Datasets:
license: cc-by-4.0
language:
- en
tags:
- circuit-diagrams
- document-understanding
- graph-recovery
- connectivity-verification
- vision-language-models
- digital-logic
size_categories:
- 1K<n<10K
pretty_name: LogicBench-1K
LogicBench-1K
Digital logic circuit diagrams with topology-level ground-truth graph annotations.
Official repository: github.com/tkcl-research/LogicBench1k
Paper
Stroke-Level Connectivity Verification: Grounding Vision-Language Models Against Topology Hallucination in Diagram Understanding
Abdullah Ibne Hanif Arean, Niamul Hassan Samin, Md Arifur Rahman, Renu Akter Suity, Juena Ahmed Noshin, and Md Ashikur Rahman
International Conference on Document Analysis and Recognition (ICDAR), 2026
Dataset summary
| Property | Value |
|---|---|
| Samples | 1,000 |
| Image format | JPEG, 512x512 px |
| Annotation format | JSON (directed graph per image) |
| Train / Val / Test | 700 / 100 / 200 |
| Gate vocabulary | AND, OR, NOT, NAND, NOR, XOR, XNOR |
| Total gates / edges | 6,174 / 6,423 |
Dataset structure
LogicBench-1K/
├── images/
├── annotations/
│ └── splits/
├── metadata/
└── schema/
Splits
| Split | File | Count | Sample ID range |
|---|---|---|---|
| Test | annotations/splits/test.txt |
200 | lb1k_00000-lb1k_00199 |
| Train | annotations/splits/train.txt |
700 | lb1k_00200-lb1k_00899 |
| Validation | annotations/splits/val.txt |
100 | lb1k_00900-lb1k_00999 |
Load a sample
import json
from huggingface_hub import hf_hub_download
sample_id = "lb1k_00042"
ann_path = hf_hub_download("TKCL-HF/LogicBench-1K", f"annotations/{sample_id}.json", repo_type="dataset")
img_path = hf_hub_download("TKCL-HF/LogicBench-1K", f"images/{sample_id}.jpg", repo_type="dataset")
with open(ann_path) as f:
graph = json.load(f)
Citation
If you use LogicBench-1K, please cite:
Stroke-Level Connectivity Verification: Grounding Vision-Language Models Against Topology Hallucination in Diagram Understanding
Abdullah Ibne Hanif Arean, Niamul Hassan Samin, Md Arifur Rahman, Renu Akter Suity, Juena Ahmed Noshin, and Md Ashikur Rahman
International Conference on Document Analysis and Recognition (ICDAR), 2026
@inproceedings{arean2026slcv,
author = {{Abdullah Ibne Hanif Arean} and {Niamul Hassan Samin} and {Md Arifur Rahman} and {Renu Akter Suity} and {Juena Ahmed Noshin} and {Md Ashikur Rahman}},
title = {Stroke-Level Connectivity Verification: Grounding Vision-Language Models Against Topology Hallucination in Diagram Understanding},
booktitle = {International Conference on Document Analysis and Recognition (ICDAR)},
year = {2026}
}